Alternatives to Google Search Console logo

Alternatives to Google Search Console

Google Analytics, SEMrush, Google Ads, Moz, and JavaScript are the most popular alternatives and competitors to Google Search Console.
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What is Google Search Console and what are its top alternatives?

Google Search Console is a free web service offered by Google that allows webmasters to monitor and maintain their websites' presence in Google search results. Key features include providing insights on search performance, indexing status, mobile usability, and security issues. However, some limitations of Google Search Console include limited historical data, lack of data on non-Google search engines, and sometimes delayed data updates.

  1. Bing Webmaster Tools: Bing Webmaster Tools offers similar features to Google Search Console including search performance data, indexing status, and website health monitoring. Pros include support for Bing search data and real-time alerts. Cons include a smaller user base compared to Google Search Console.

  2. SEMrush: SEMrush is a comprehensive SEO tool that offers features like keyword research, backlink analysis, and site audit. Pros include in-depth competitive analysis and keyword tracking. Cons include the cost of the premium plans compared to the free Google Search Console.

  3. Ahrefs: Ahrefs provides tools for backlink analysis, keyword research, and competitor analysis. Pros include extensive backlink data and competitive analysis features. Cons include the higher subscription cost and lack of certain features present in Google Search Console.

  4. Moz: Moz offers SEO tools for keyword research, link building, and site audits. Pros include a user-friendly interface and comprehensive keyword research tools. Cons include limited data compared to Google Search Console and higher pricing for advanced features.

  5. Rank Math: Rank Math is a WordPress SEO plugin that offers features like advanced SEO analysis, XML sitemap generation, and 404 monitoring. Pros include a user-friendly interface specifically for WordPress sites. Cons include limited data compared to Google Search Console for non-WordPress sites.

  6. Serpstat: Serpstat is an all-in-one SEO platform with features like keyword research, rank tracking, and site audit. Pros include affordable pricing plans and comprehensive keyword research tools. Cons include limited historical data compared to Google Search Console.

  7. WebCEO: WebCEO provides SEO tools for keyword research, backlink analysis, and technical SEO audit. Pros include comprehensive site audit features and social media analysis tools. Cons include a bit steeper learning curve compared to Google Search Console.

  8. SE Ranking: SE Ranking offers features like keyword tracking, backlink analysis, and site audits. Pros include a user-friendly interface and white-label reporting. Cons include limited support for integrations compared to Google Search Console.

  9. Sitebulb: Sitebulb is a website auditing tool that helps identify technical SEO issues, improve site structure, and monitor performance. Pros include in-depth site audit reports and actionable recommendations. Cons include the lack of search performance data provided by Google Search Console.

  10. Screaming Frog SEO Spider: Screaming Frog is a website crawler tool that helps analyze SEO issues like broken links, redirects, and duplicate content. Pros include detailed website analysis and customization options. Cons include the complexity of the tool compared to the user-friendly interface of Google Search Console.

Top Alternatives to Google Search Console

  • Google Analytics
    Google Analytics

    Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. ...

  • SEMrush
    SEMrush

    SEMrush is a powerful and versatile competitive intelligence suite for online marketing, from SEO and PPC to social media and video advertising research. ...

  • Google Ads
    Google Ads

    An online advertising solution that businesses use to promote their products and services on Google Search, YouTube and other sites across the web. It also allows advertisers to choose specific goals for their ads, like driving phone calls or website visits. ...

  • Moz
    Moz

    Best-in-class SEO software for every situation, from all-in-one SEO platform to tools for local SEO, enterprise SERP analytics, and a powerful API. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

  • GitHub
    GitHub

    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...

  • Python
    Python

    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...

Google Search Console alternatives & related posts

Google Analytics logo

Google Analytics

126K
48.4K
5K
Enterprise-class web analytics.
126K
48.4K
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PROS OF GOOGLE ANALYTICS
  • 1.5K
    Free
  • 926
    Easy setup
  • 890
    Data visualization
  • 698
    Real-time stats
  • 405
    Comprehensive feature set
  • 181
    Goals tracking
  • 154
    Powerful funnel conversion reporting
  • 138
    Customizable reports
  • 83
    Custom events try
  • 53
    Elastic api
  • 14
    Updated regulary
  • 8
    Interactive Documentation
  • 3
    Google play
  • 2
    Industry Standard
  • 2
    Walkman music video playlist
  • 2
    Advanced ecommerce
  • 1
    Medium / Channel data split
  • 1
    Easy to integrate
  • 1
    Financial Management Challenges -2015h
  • 1
    Lifesaver
  • 1
    Irina
CONS OF GOOGLE ANALYTICS
  • 11
    Confusing UX/UI
  • 8
    Super complex
  • 6
    Very hard to build out funnels
  • 4
    Poor web performance metrics
  • 3
    Very easy to confuse the user of the analytics
  • 2
    Time spent on page isn't accurate out of the box

related Google Analytics posts

Alex Step

We used to use Google Analytics to get audience insights while running a startup and we are constantly doing experiments to lear our users. We are a small team and we have a lack of time to keep up with trends. Here is the list of problems we are experiencing: - Analytics takes too much time - We have enough time to regularly monitor analytics - Google Analytics interface is too advanced and complicated - It's difficult to detect anomalies and trends in GA

We considered other solutions on a market, but found 2 main issues: - The solution created for analytic experts - The solution is pretty expensive and non-automated

After learning this fact we decided to create AI-powered Slack bot to analyze Google Analytics and share trends. The bot is currently working and highlights trends for us.

We are thinking about publishing this solution as a SaaS. If you are interested in automating Google Analytics analysis, drop a comment and you'll get an early access.

We will implement this solution only if we have 20+ early adaptors. Leave a message with your thought. I appreciate any feedback.

See more
Tim Specht
‎Co-Founder and CTO at Dubsmash · | 14 upvotes · 950.4K views

In order to accurately measure & track user behaviour on our platform we moved over quickly from the initial solution using Google Analytics to a custom-built one due to resource & pricing concerns we had.

While this does sound complicated, it’s as easy as clients sending JSON blobs of events to Amazon Kinesis from where we use AWS Lambda & Amazon SQS to batch and process incoming events and then ingest them into Google BigQuery. Once events are stored in BigQuery (which usually only takes a second from the time the client sends the data until it’s available), we can use almost-standard-SQL to simply query for data while Google makes sure that, even with terabytes of data being scanned, query times stay in the range of seconds rather than hours. Before ingesting their data into the pipeline, our mobile clients are aggregating events internally and, once a certain threshold is reached or the app is going to the background, sending the events as a JSON blob into the stream.

In the past we had workers running that continuously read from the stream and would validate and post-process the data and then enqueue them for other workers to write them to BigQuery. We went ahead and implemented the Lambda-based approach in such a way that Lambda functions would automatically be triggered for incoming records, pre-aggregate events, and write them back to SQS, from which we then read them, and persist the events to BigQuery. While this approach had a couple of bumps on the road, like re-triggering functions asynchronously to keep up with the stream and proper batch sizes, we finally managed to get it running in a reliable way and are very happy with this solution today.

#ServerlessTaskProcessing #GeneralAnalytics #RealTimeDataProcessing #BigDataAsAService

See more
SEMrush logo

SEMrush

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All-in-one Marketing Toolkit for digital marketing professionals
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      related SEMrush posts

      Google Ads logo

      Google Ads

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      An online advertising platform developed by Google
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          Moz logo

          Moz

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          SEO Software for Smarter Marketing
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          PROS OF MOZ
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              JavaScript logo

              JavaScript

              351.2K
              267.4K
              8.1K
              Lightweight, interpreted, object-oriented language with first-class functions
              351.2K
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              PROS OF JAVASCRIPT
              • 1.7K
                Can be used on frontend/backend
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                It's everywhere
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                Lots of great frameworks
              • 897
                Fast
              • 745
                Light weight
              • 425
                Flexible
              • 392
                You can't get a device today that doesn't run js
              • 286
                Non-blocking i/o
              • 237
                Ubiquitousness
              • 191
                Expressive
              • 55
                Extended functionality to web pages
              • 49
                Relatively easy language
              • 46
                Executed on the client side
              • 30
                Relatively fast to the end user
              • 25
                Pure Javascript
              • 21
                Functional programming
              • 15
                Async
              • 13
                Full-stack
              • 12
                Setup is easy
              • 12
                Future Language of The Web
              • 12
                Its everywhere
              • 11
                Because I love functions
              • 11
                JavaScript is the New PHP
              • 10
                Like it or not, JS is part of the web standard
              • 9
                Expansive community
              • 9
                Everyone use it
              • 9
                Can be used in backend, frontend and DB
              • 9
                Easy
              • 8
                Most Popular Language in the World
              • 8
                Powerful
              • 8
                Can be used both as frontend and backend as well
              • 8
                For the good parts
              • 8
                No need to use PHP
              • 8
                Easy to hire developers
              • 7
                Agile, packages simple to use
              • 7
                Love-hate relationship
              • 7
                Photoshop has 3 JS runtimes built in
              • 7
                Evolution of C
              • 7
                It's fun
              • 7
                Hard not to use
              • 7
                Versitile
              • 7
                Its fun and fast
              • 7
                Nice
              • 7
                Popularized Class-Less Architecture & Lambdas
              • 7
                Supports lambdas and closures
              • 6
                It let's me use Babel & Typescript
              • 6
                Can be used on frontend/backend/Mobile/create PRO Ui
              • 6
                1.6K Can be used on frontend/backend
              • 6
                Client side JS uses the visitors CPU to save Server Res
              • 6
                Easy to make something
              • 5
                Clojurescript
              • 5
                Promise relationship
              • 5
                Stockholm Syndrome
              • 5
                Function expressions are useful for callbacks
              • 5
                Scope manipulation
              • 5
                Everywhere
              • 5
                Client processing
              • 5
                What to add
              • 4
                Because it is so simple and lightweight
              • 4
                Only Programming language on browser
              • 1
                Test
              • 1
                Hard to learn
              • 1
                Test2
              • 1
                Not the best
              • 1
                Easy to understand
              • 1
                Subskill #4
              • 1
                Easy to learn
              • 0
                Hard 彤
              CONS OF JAVASCRIPT
              • 22
                A constant moving target, too much churn
              • 20
                Horribly inconsistent
              • 15
                Javascript is the New PHP
              • 9
                No ability to monitor memory utilitization
              • 8
                Shows Zero output in case of ANY error
              • 7
                Thinks strange results are better than errors
              • 6
                Can be ugly
              • 3
                No GitHub
              • 2
                Slow

              related JavaScript posts

              Zach Holman

              Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

              But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

              But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

              Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

              See more
              Conor Myhrvold
              Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.1M views

              How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

              Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

              Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

              https://eng.uber.com/distributed-tracing/

              (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

              Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

              See more
              Git logo

              Git

              290.1K
              174.3K
              6.6K
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              PROS OF GIT
              • 1.4K
                Distributed version control system
              • 1.1K
                Efficient branching and merging
              • 959
                Fast
              • 845
                Open source
              • 726
                Better than svn
              • 368
                Great command-line application
              • 306
                Simple
              • 291
                Free
              • 232
                Easy to use
              • 222
                Does not require server
              • 27
                Distributed
              • 22
                Small & Fast
              • 18
                Feature based workflow
              • 15
                Staging Area
              • 13
                Most wide-spread VSC
              • 11
                Role-based codelines
              • 11
                Disposable Experimentation
              • 7
                Frictionless Context Switching
              • 6
                Data Assurance
              • 5
                Efficient
              • 4
                Just awesome
              • 3
                Github integration
              • 3
                Easy branching and merging
              • 2
                Compatible
              • 2
                Flexible
              • 2
                Possible to lose history and commits
              • 1
                Rebase supported natively; reflog; access to plumbing
              • 1
                Light
              • 1
                Team Integration
              • 1
                Fast, scalable, distributed revision control system
              • 1
                Easy
              • 1
                Flexible, easy, Safe, and fast
              • 1
                CLI is great, but the GUI tools are awesome
              • 1
                It's what you do
              • 0
                Phinx
              CONS OF GIT
              • 16
                Hard to learn
              • 11
                Inconsistent command line interface
              • 9
                Easy to lose uncommitted work
              • 7
                Worst documentation ever possibly made
              • 5
                Awful merge handling
              • 3
                Unexistent preventive security flows
              • 3
                Rebase hell
              • 2
                When --force is disabled, cannot rebase
              • 2
                Ironically even die-hard supporters screw up badly
              • 1
                Doesn't scale for big data

              related Git posts

              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.3M views

              Our whole DevOps stack consists of the following tools:

              • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
              • Respectively Git as revision control system
              • SourceTree as Git GUI
              • Visual Studio Code as IDE
              • CircleCI for continuous integration (automatize development process)
              • Prettier / TSLint / ESLint as code linter
              • SonarQube as quality gate
              • Docker as container management (incl. Docker Compose for multi-container application management)
              • VirtualBox for operating system simulation tests
              • Kubernetes as cluster management for docker containers
              • Heroku for deploying in test environments
              • nginx as web server (preferably used as facade server in production environment)
              • SSLMate (using OpenSSL) for certificate management
              • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
              • PostgreSQL as preferred database system
              • Redis as preferred in-memory database/store (great for caching)

              The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

              • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
              • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
              • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
              • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
              • Scalability: All-in-one framework for distributed systems.
              • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
              See more
              Tymoteusz Paul
              Devops guy at X20X Development LTD · | 23 upvotes · 8.3M views

              Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

              It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

              I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

              We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

              If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

              The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

              Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

              See more
              GitHub logo

              GitHub

              279.7K
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              10.3K
              Powerful collaboration, review, and code management for open source and private development projects
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              PROS OF GITHUB
              • 1.8K
                Open source friendly
              • 1.5K
                Easy source control
              • 1.3K
                Nice UI
              • 1.1K
                Great for team collaboration
              • 867
                Easy setup
              • 504
                Issue tracker
              • 486
                Great community
              • 482
                Remote team collaboration
              • 451
                Great way to share
              • 442
                Pull request and features planning
              • 147
                Just works
              • 132
                Integrated in many tools
              • 121
                Free Public Repos
              • 116
                Github Gists
              • 112
                Github pages
              • 83
                Easy to find repos
              • 62
                Open source
              • 60
                It's free
              • 60
                Easy to find projects
              • 56
                Network effect
              • 49
                Extensive API
              • 43
                Organizations
              • 42
                Branching
              • 34
                Developer Profiles
              • 32
                Git Powered Wikis
              • 30
                Great for collaboration
              • 24
                It's fun
              • 23
                Clean interface and good integrations
              • 22
                Community SDK involvement
              • 20
                Learn from others source code
              • 16
                Because: Git
              • 14
                It integrates directly with Azure
              • 10
                Standard in Open Source collab
              • 10
                Newsfeed
              • 8
                It integrates directly with Hipchat
              • 8
                Fast
              • 8
                Beautiful user experience
              • 7
                Easy to discover new code libraries
              • 6
                Smooth integration
              • 6
                Cloud SCM
              • 6
                Nice API
              • 6
                Graphs
              • 6
                Integrations
              • 6
                It's awesome
              • 5
                Quick Onboarding
              • 5
                Reliable
              • 5
                Remarkable uptime
              • 5
                CI Integration
              • 5
                Hands down best online Git service available
              • 4
                Uses GIT
              • 4
                Version Control
              • 4
                Simple but powerful
              • 4
                Unlimited Public Repos at no cost
              • 4
                Free HTML hosting
              • 4
                Security options
              • 4
                Loved by developers
              • 4
                Easy to use and collaborate with others
              • 3
                Ci
              • 3
                IAM
              • 3
                Nice to use
              • 3
                Easy deployment via SSH
              • 2
                Easy to use
              • 2
                Leads the copycats
              • 2
                All in one development service
              • 2
                Free private repos
              • 2
                Free HTML hostings
              • 2
                Easy and efficient maintainance of the projects
              • 2
                Beautiful
              • 2
                Easy source control and everything is backed up
              • 2
                IAM integration
              • 2
                Very Easy to Use
              • 2
                Good tools support
              • 2
                Issues tracker
              • 2
                Never dethroned
              • 2
                Self Hosted
              • 1
                Dasf
              • 1
                Profound
              CONS OF GITHUB
              • 53
                Owned by micrcosoft
              • 37
                Expensive for lone developers that want private repos
              • 15
                Relatively slow product/feature release cadence
              • 10
                API scoping could be better
              • 8
                Only 3 collaborators for private repos
              • 3
                Limited featureset for issue management
              • 2
                GitHub Packages does not support SNAPSHOT versions
              • 2
                Does not have a graph for showing history like git lens
              • 1
                No multilingual interface
              • 1
                Takes a long time to commit
              • 1
                Expensive

              related GitHub posts

              Johnny Bell

              I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

              I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

              I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

              Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

              Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

              With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

              If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

              See more
              Russel Werner
              Lead Engineer at StackShare · | 32 upvotes · 2.2M views

              StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

              Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

              #StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

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              Python logo

              Python

              239.7K
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              6.9K
              A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
              239.7K
              195.6K
              + 1
              6.9K
              PROS OF PYTHON
              • 1.2K
                Great libraries
              • 961
                Readable code
              • 846
                Beautiful code
              • 787
                Rapid development
              • 689
                Large community
              • 435
                Open source
              • 393
                Elegant
              • 282
                Great community
              • 272
                Object oriented
              • 220
                Dynamic typing
              • 77
                Great standard library
              • 59
                Very fast
              • 55
                Functional programming
              • 49
                Easy to learn
              • 45
                Scientific computing
              • 35
                Great documentation
              • 29
                Productivity
              • 28
                Easy to read
              • 28
                Matlab alternative
              • 23
                Simple is better than complex
              • 20
                It's the way I think
              • 19
                Imperative
              • 18
                Free
              • 18
                Very programmer and non-programmer friendly
              • 17
                Powerfull language
              • 17
                Machine learning support
              • 16
                Fast and simple
              • 14
                Scripting
              • 12
                Explicit is better than implicit
              • 11
                Ease of development
              • 10
                Clear and easy and powerfull
              • 9
                Unlimited power
              • 8
                It's lean and fun to code
              • 8
                Import antigravity
              • 7
                Print "life is short, use python"
              • 7
                Python has great libraries for data processing
              • 6
                Although practicality beats purity
              • 6
                Flat is better than nested
              • 6
                Great for tooling
              • 6
                Rapid Prototyping
              • 6
                Readability counts
              • 6
                High Documented language
              • 6
                I love snakes
              • 6
                Fast coding and good for competitions
              • 6
                There should be one-- and preferably only one --obvious
              • 6
                Now is better than never
              • 5
                Great for analytics
              • 5
                Lists, tuples, dictionaries
              • 4
                Easy to learn and use
              • 4
                Simple and easy to learn
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                Easy to setup and run smooth
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                Web scraping
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                CG industry needs
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              • 4
                Complex is better than complicated
              • 4
                Multiple Inheritence
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                Plotting
              • 3
                If the implementation is hard to explain, it's a bad id
              • 3
                Special cases aren't special enough to break the rules
              • 3
                Pip install everything
              • 3
                List comprehensions
              • 3
                No cruft
              • 3
                Generators
              • 3
                Import this
              • 3
                It is Very easy , simple and will you be love programmi
              • 3
                Many types of collections
              • 3
                If the implementation is easy to explain, it may be a g
              • 2
                Batteries included
              • 2
                Should START with this but not STICK with This
              • 2
                Powerful language for AI
              • 2
                Can understand easily who are new to programming
              • 2
                Flexible and easy
              • 2
                Good for hacking
              • 2
                A-to-Z
              • 2
                Because of Netflix
              • 2
                Only one way to do it
              • 2
                Better outcome
              • 1
                Sexy af
              • 1
                Slow
              • 1
                Securit
              • 0
                Ni
              • 0
                Powerful
              CONS OF PYTHON
              • 53
                Still divided between python 2 and python 3
              • 28
                Performance impact
              • 26
                Poor syntax for anonymous functions
              • 22
                GIL
              • 19
                Package management is a mess
              • 14
                Too imperative-oriented
              • 12
                Hard to understand
              • 12
                Dynamic typing
              • 12
                Very slow
              • 8
                Indentations matter a lot
              • 8
                Not everything is expression
              • 7
                Incredibly slow
              • 7
                Explicit self parameter in methods
              • 6
                Requires C functions for dynamic modules
              • 6
                Poor DSL capabilities
              • 6
                No anonymous functions
              • 5
                Fake object-oriented programming
              • 5
                Threading
              • 5
                The "lisp style" whitespaces
              • 5
                Official documentation is unclear.
              • 5
                Hard to obfuscate
              • 5
                Circular import
              • 4
                Lack of Syntax Sugar leads to "the pyramid of doom"
              • 4
                The benevolent-dictator-for-life quit
              • 4
                Not suitable for autocomplete
              • 2
                Meta classes
              • 1
                Training wheels (forced indentation)

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              Conor Myhrvold
              Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.1M views

              How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

              Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

              Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

              https://eng.uber.com/distributed-tracing/

              (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

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              Nick Parsons
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              Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

              We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

              We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

              Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

              #FrameworksFullStack #Languages

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