What is Fiddler and what are its top alternatives?
Top Alternatives to Fiddler
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. ...
Charles
Charles is a web proxy (HTTP Proxy / HTTP Monitor) that runs on your own computer. Your web browser (or any other Internet application) is then configured to access the Internet through Charles, and Charles is then able to record and display for you all of the data that is sent and received. ...
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide. ...
Amazon API Gateway
Amazon API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management. ...
Insomnia REST Client
Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux. ...
OpenAPI
It is a publicly available application programming interface that provides developers with programmatic access to a proprietary software application or web service. ...
Paw
Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code. ...
OpenAPI Specification
It defines a standard, language-agnostic interface to RESTful APIs which allows both humans and computers to discover and understand the capabilities of the service without access to source code, documentation, or through network traffic inspection. ...
Fiddler alternatives & related posts
Python
- Great libraries1.1K
- Readable code920
- Beautiful code814
- Rapid development763
- Large community668
- Open source414
- Elegant375
- Great community264
- Object oriented257
- Dynamic typing206
- Great standard library68
- Very fast51
- Functional programming47
- Scientific computing33
- Easy to learn31
- Great documentation29
- Matlab alternative25
- Productivity22
- Easy to read21
- Simple is better than complex19
- It's the way I think17
- Imperative17
- Very programmer and non-programmer friendly15
- Free14
- Powerful14
- Fast and simple13
- Powerfull language13
- Scripting12
- Machine learning support9
- Explicit is better than implicit9
- Ease of development8
- Unlimited power8
- Import antigravity7
- Clear and easy and powerfull7
- Print "life is short, use python"6
- It's lean and fun to code6
- Great for tooling5
- Fast coding and good for competitions5
- There should be one-- and preferably only one --obvious5
- Python has great libraries for data processing5
- High Documented language5
- I love snakes5
- Although practicality beats purity5
- Flat is better than nested5
- Readability counts4
- Multiple Inheritence3
- Complex is better than complicated3
- Lists, tuples, dictionaries3
- Plotting3
- Rapid Prototyping3
- Great for analytics3
- Socially engaged community3
- Beautiful is better than ugly3
- CG industry needs3
- No cruft2
- Easy to learn and use2
- List comprehensions2
- Generators2
- Special cases aren't special enough to break the rules2
- Now is better than never2
- If the implementation is hard to explain, it's a bad id2
- If the implementation is easy to explain, it may be a g2
- Simple and easy to learn2
- Import this2
- Powerful language for AI1
- Because of Netflix1
- Pip install everything1
- Web scraping1
- Better outcome1
- Batteries included1
- Easy to setup and run smooth1
- It is Very easy , simple and will you be love programmi1
- Only one way to do it1
- A-to-Z1
- Many types of collections1
- Flexible and easy1
- Pro0
- Powerful0
- Still divided between python 2 and python 349
- Poor syntax for anonymous functions26
- Performance impact26
- GIL18
- Package management is a mess18
- Too imperative-oriented13
- Hard to understand12
- Dynamic typing10
- Very slow8
- Not everything is expression8
- Indentations matter a lot7
- Explicit self parameter in methods7
- Poor DSL capabilities6
- No anonymous functions6
- Requires C functions for dynamic modules6
- Hard to obfuscate5
- The "lisp style" whitespaces5
- The benevolent-dictator-for-life quit4
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- Threading4
- Fake object-oriented programming4
- Incredibly slow4
- Not suitable for autocomplete3
- Official documentation is unclear.3
- Circular import2
- Training wheels (forced indentation)1
- Meta classes1
related Python posts











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
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
related Charles posts
- Easy to use480
- Great tool366
- Makes developing rest api's easy peasy274
- Easy setup, looks good154
- The best api workflow out there143
- It's the best53
- History feature53
- Adds real value to my workflow43
- Great interface that magically predicts your needs41
- The best in class app34
- Can save and share script10
- Fully featured without looking cluttered9
- Collections7
- Global/Environment Variables6
- Shareable Collections6
- Dead simple and useful. Excellent6
- Dark theme easy on the eyes6
- Option to run scrips6
- Great integration with newman5
- Awesome customer support5
- The test script is useful4
- Documentation3
- Easy as pie3
- Saves responses3
- Simple3
- This has simplified my testing significantly3
- Makes testing API's as easy as 1,2,33
- API-network2
- I'd recommend it to everyone who works with apis2
- Continuous integration using newman1
- Postman Runner CI Integration1
- Now supports GraphQL1
- Easy to setup, test and provides test storage1
- Pre-request Script and Test attributes are invaluable1
- Mocking API calls with predefined response0
- <a href="http://fixbit.com/">useful tool</a>0
- Runner0
- Stores credentials in HTTP8
- Poor GraphQL support7
- Bloated features and UI5
- Cumbersome to switch authentication tokens5
related Postman posts
We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.
Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username
, password
and workspace_name
so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.
Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.
This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.
Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct
Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.
Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.
















Our whole Node.js backend stack consists of the following tools:
- Lerna as a tool for multi package and multi repository management
- npm as package manager
- NestJS as Node.js framework
- TypeScript as programming language
- ExpressJS as web server
- Swagger UI for visualizing and interacting with the API’s resources
- Postman as a tool for API development
- TypeORM as object relational mapping layer
- JSON Web Token for access token management
The main reason we have chosen Node.js over PHP is related to the following artifacts:
- Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
- Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
- A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
- Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
- AWS Integration35
- Websockets2
- No websocket broadcast1
- Less expensive1
related Amazon API Gateway posts
Amazon API Gateway vs Apigee. How do they compare as an API Gateway? What is the equivalent functionality, similarities, and differences moving from Apigee API GW to AWS API GW?
- Easy to work with13
- Great user interface8
- Works with GraphQL5
- Preserves request templates2
- Opensource2
- Cross platform, available for Mac, Windows, and Linux2
- Does not have history feature0
- Vim and Emacs key map0
- Do not have team sharing options1
- Do not store credentials in HTTP1
related Insomnia REST Client posts
We've tried a couple REST clients over the years, and Insomnia REST Client has won us over the most. Here's what we like about it compared to other contenders in this category:
- Uncluttered UI. Things are only in your face when you need them, and the app is visually organized in an intuitive manner.
- Native Mac app. We wanted the look and feel to be on par with other apps in our OS rather than a web app / Electron app (cough Postman).
- Easy team sync. Other apps have this too, but Insomnia's model best sets the "set and forget" mentality. Syncs are near instant and I'm always assured that I'm working on the latest version of API endpoints. Apps like Paw use a git-based approach to revision history, but I think this actually over-complicates the sync feature. For ensuring I'm always working on the latest version of something, I'd rather have the sync model be closer to Dropbox's than git's, and Insomnia is closer to Dropbox in that regard.
Some features like automatic public-facing documentation aren't supported, but we currently don't have any public APIs, so this didn't matter to us.
related OpenAPI posts
We use Swagger Inspector in conjunction with our universal REST-API "Charon". Swagger Inspector makes testing edge-cases hassle-free and lets testing look easy. Swagger Inspector was also a great help to explore the Mojang-API, that we are dependent on, because it is the central repository for minecraft-account-data.
We previously used Postman but decided to switch over to Swagger Inspector because it also integrated seamlessly into Swagger UI, which we use for displaying our OpenAPI specification of said REST-API.
- Great interface46
- Easy to use38
- More stable and performant than the others25
- Saves endpoints list for testing16
- Supports environment variables13
- Integrations12
- Multi-Dimension Environment Settings9
- Paste curl commands into Paw4
- Creates code for any language or framework2
- It's not free3
- MacOS Only2
related Paw posts
We've tried a couple REST clients over the years, and Insomnia REST Client has won us over the most. Here's what we like about it compared to other contenders in this category:
- Uncluttered UI. Things are only in your face when you need them, and the app is visually organized in an intuitive manner.
- Native Mac app. We wanted the look and feel to be on par with other apps in our OS rather than a web app / Electron app (cough Postman).
- Easy team sync. Other apps have this too, but Insomnia's model best sets the "set and forget" mentality. Syncs are near instant and I'm always assured that I'm working on the latest version of API endpoints. Apps like Paw use a git-based approach to revision history, but I think this actually over-complicates the sync feature. For ensuring I'm always working on the latest version of something, I'd rather have the sync model be closer to Dropbox's than git's, and Insomnia is closer to Dropbox in that regard.
Some features like automatic public-facing documentation aren't supported, but we currently don't have any public APIs, so this didn't matter to us.
- API Specification3
- API Documentation3