What is Plastic SCM and what are its top alternatives?
Plastic SCM is a version control system that offers a distributed architecture, branching and merging capabilities, and support for a wide range of file types. It also provides visualization tools, code review features, and integration with external tools. However, some limitations of Plastic SCM include a steep learning curve, a complex setup process, and a higher price compared to some other version control systems.
Git: Git is a widely used distributed version control system known for its speed and efficiency. Key features include branching and merging support, decentralized workflow, and a vast community of users contributing to its development. Pros of Git include its popularity, extensive documentation, and seamless integration with various tools. However, some users may find its learning curve steep and complex commands difficult to remember compared to Plastic SCM.
Mercurial: Mercurial is another distributed version control system that emphasizes simplicity and ease of use. It offers branching and merging capabilities, a clean and intuitive interface, and strong support for handling large repositories. Pros of Mercurial include its straightforward workflow, cross-platform compatibility, and robust performance. However, Mercurial may lack some of the advanced features found in Plastic SCM.
SVN (Apache Subversion): SVN is a centralized version control system that provides stable and reliable versioning for code and files. Key features include atomic commits, branching and tagging support, and efficient handling of binary files. Pros of SVN include its simplicity, centralized repository management, and strong community support. However, SVN may lack the distributed nature and flexibility offered by Plastic SCM.
Perforce: Perforce is a version control system designed for enterprises and large-scale development projects. It offers high performance, scalability, and support for complex branching strategies. Pros of Perforce include its robust versioning capabilities, fine-grained access control, and integration with numerous development tools. However, Perforce may be overkill for smaller teams or projects compared to Plastic SCM.
Bitbucket: Bitbucket is a Git-based version control system that provides a cloud-hosted platform for hosting repositories. It offers features such as code collaboration, pull requests, and issue tracking. Pros of Bitbucket include its seamless integration with other Atlassian tools, scalability, and built-in continuous integration. However, some users may find its pricing structure and limitations on free user accounts restrictive compared to Plastic SCM.
Fossil: Fossil is a distributed version control system that combines version control, bug tracking, and wiki functionality in a single integrated tool. Key features include a built-in web interface, automatic synchronization, and a simple command-line interface. Pros of Fossil include its all-in-one approach, self-contained repository format, and ease of installation. However, Fossil may lack some of the advanced branching and merging capabilities of Plastic SCM.
Bazaar: Bazaar is a distributed version control system developed by Canonical, the company behind Ubuntu. It offers a user-friendly interface, flexible branching model, and strong support for collaboration. Pros of Bazaar include its simplicity, high performance, and compatibility with various platforms. However, Bazaar's development has slowed down in recent years, and its user base may be smaller compared to Plastic SCM.
SourceGear Vault: SourceGear Vault is a version control system that provides centralized and distributed repository options. It offers features such as atomic commits, branching and merging support, and extensive security controls. Pros of SourceGear Vault include its ease of use, reliable performance, and integration with Visual Studio. However, SourceGear Vault may lack some of the advanced visualization and code review tools found in Plastic SCM.
Team Foundation Version Control (TFVC): TFVC is a centralized version control system provided by Microsoft as part of Azure DevOps Services. It offers features such as deep integration with Visual Studio, granular access control, and support for large files and repositories. Pros of TFVC include its seamless integration with other Microsoft tools, scalability, and robust security features. However, TFVC may have a steeper learning curve and lack the distributed nature of Plastic SCM.
SourceTree: SourceTree is a free Git and Mercurial client for Windows and Mac that provides a visual interface for managing repositories. It offers features such as interactive rebase, staging and committing changes, and management of branches and tags. Pros of SourceTree include its user-friendly interface, integration with various version control systems, and ease of use for beginners. However, SourceTree may lack some of the advanced versioning and collaboration features of Plastic SCM.
Top Alternatives to Plastic SCM
- 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. ...
- Perforce
Visibility, access control, workflow and code management for Git environments. Flexibility of collaborating on the same codebase and code reviews using any combination of Perforce and Git workflows and tools without compromise. ...
- SVN (Subversion)
Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations. ...
- Mercurial
Mercurial is dedicated to speed and efficiency with a sane user interface. It is written in Python. Mercurial's implementation and data structures are designed to be fast. You can generate diffs between revisions, or jump back in time within seconds. ...
- DVC
It is an open-source Version Control System for data science and machine learning projects. It is designed to handle large files, data sets, machine learning models, and metrics as well as code. ...
- Replicate
It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works. ...
- Magit
It is an interface to the version control system Git, implemented as an Emacs package. It aspires to be a complete Git porcelain. While we cannot (yet) claim that it wraps and improves upon each and every Git command, it is complete enough to allow even experienced Git users to perform almost all of their daily version control tasks directly from within Emacs. While many fine Git clients exist, only deserve to be called porcelains. ...
- isomorphic-git
It is a pure JavaScript reimplementation of git that works in both Node.js and browser JavaScript environments. It can read and write to git repositories, fetch from and push to git remotes (such as GitHub), all without any native C++ module dependencies. ...
Plastic SCM alternatives & related posts
- Distributed version control system1.4K
- Efficient branching and merging1.1K
- Fast959
- Open source845
- Better than svn726
- Great command-line application368
- Simple306
- Free291
- Easy to use232
- Does not require server222
- Distributed27
- Small & Fast22
- Feature based workflow18
- Staging Area15
- Most wide-spread VSC13
- Role-based codelines11
- Disposable Experimentation11
- Frictionless Context Switching7
- Data Assurance6
- Efficient5
- Just awesome4
- Github integration3
- Easy branching and merging3
- Compatible2
- Flexible2
- Possible to lose history and commits2
- Rebase supported natively; reflog; access to plumbing1
- Light1
- Team Integration1
- Fast, scalable, distributed revision control system1
- Easy1
- Flexible, easy, Safe, and fast1
- CLI is great, but the GUI tools are awesome1
- It's what you do1
- Phinx0
- Hard to learn16
- Inconsistent command line interface11
- Easy to lose uncommitted work9
- Worst documentation ever possibly made7
- Awful merge handling5
- Unexistent preventive security flows3
- Rebase hell3
- When --force is disabled, cannot rebase2
- Ironically even die-hard supporters screw up badly2
- Doesn't scale for big data1
related Git posts
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.
Application and Data: Since my personal website ( https://alisoueidan.com ) is a SPA I've chosen to use Vue.js, as a framework to create it. After a short skeptical phase I immediately felt in love with the single file component concept! I also used vuex for state management, which makes working with several components, which are communicating with each other even more fun and convenient to use. Of course, using Vue requires using JavaScript as well, since it is the basis of it.
For markup and style, I used Pug and Sass, since they’re the perfect match to me. I love the clean and strict syntax of both of them and even more that their structure is almost similar. Also, both of them come with an expanded functionality such as mixins, loops and so on related to their “siblings” (HTML and CSS). Both of them require nesting and prevent untidy code, which can be a huge advantage when working in teams. I used JSON to store data (since the data quantity on my website is moderate) – JSON works also good in combo with Pug, using for loops, based on the JSON Objects for example.
To send my contact form I used PHP, since sending emails using PHP is still relatively convenient, simple and easy done.
DevOps: Of course, I used Git to do my version management (which I even do in smaller projects like my website just have an additional backup of my code). On top of that I used GitHub since it now supports private repository for free accounts (which I am using for my own). I use Babel to use ES6 functionality such as arrow functions and so on, and still don’t losing cross browser compatibility.
Side note: I used npm for package management. 🎉
*Business Tools: * I use Asana to organize my project. This is a big advantage to me, even if I work alone, since “private” projects can get interrupted for some time. By using Asana I still know (even after month of not touching a project) what I’ve done, on which task I was at last working on and what still is to do. Working in Teams (for enterprise I’d take on Jira instead) of course Asana is a Tool which I really love to use as well. All the graphics on my website are SVG which I have created with Adobe Illustrator and adjusted within the SVG code or by using JavaScript or CSS (SASS).
- Powerful3
- Great for Enterprise level use3
- Robust2
- Scalable1
related Perforce posts
- Easy to use20
- Simple code versioning13
- User/Access Management5
- Complicated code versionioning by Subversion3
- Free2
- Branching and tagging use tons of disk space7
related SVN (Subversion) posts
I use Visual Studio Code because at this time is a mature software and I can do practically everything using it.
It's free and open source: The project is hosted on GitHub and it’s free to download, fork, modify and contribute to the project.
Multi-platform: You can download binaries for different platforms, included Windows (x64), MacOS and Linux (
.rpm
and.deb
packages)LightWeight: It runs smoothly in different devices. It has an average memory and CPU usage. Starts almost immediately and it’s very stable.
Extended language support: Supports by default the majority of the most used languages and syntax like JavaScript, HTML, C#, Swift, Java, PHP, Python and others. Also, VS Code supports different file types associated to projects like
.ini
,.properties
, XML and JSON files.Integrated tools: Includes an integrated terminal, debugger, problem list and console output inspector. The project navigator sidebar is simple and powerful: you can manage your files and folders with ease. The command palette helps you find commands by text. The search widget has a powerful auto-complete feature to search and find your files.
Extensible and configurable: There are many extensions available for every language supported, including syntax highlighters, IntelliSense and code completion, and debuggers. There are also extension to manage application configuration and architecture like Docker and Jenkins.
Integrated with Git: You can visually manage your project repositories, pull, commit and push your changes, and easy conflict resolution.( there is support for SVN (Subversion) users by plugin)
I use Git instead of SVN (Subversion) because it allows us to scale our development team. At any given time, the Zulip open source project has hundreds of open pull requests from tens of contributors, each in various stages of the pipeline. Git's workflow makes it very easy to context switch between different feature branches.
- A lot easier to extend than git18
- Easy-to-grasp system with nice tools17
- Works on windows natively without cygwin nonsense13
- Written in python11
- Free9
- Fast8
- Better than Git6
- Best GUI6
- Better than svn4
- Hg inc2
- Good user experience2
- TortoiseHg - Unified free gui for all platforms2
- Consistent UI2
- Easy-to-use2
- Native support to all platforms2
- Free to use1
- Track single upstream only0
- Does not distinguish between local and remote head0
related Mercurial posts
I've been excited about Git ever since it got a built-in UI. It's the perfect combination of a really solid, simple data model, which allows an experienced user to predict precisely what a Git subcommand will do, often without needing to read the documentation (see the slides linked from the attached article for details). Most important to me as the lead developer of a large open source project (Zulip) is that it makes it possible to build a really clean, clear development history that I regularly use to understand details of our code history that are critical to making correct changes.
And it performs really, really well. In 2014, I managed Dropbox's migration from Mercurial to Git. And just switching tools made just about every common operation (git status
, git log
, git commit
etc.) 2-10x faster than with Mercurial. It makes sense if you think about it, since Git was designed to perform well with Linux, one of the largest open source projects out there, but it was still a huge productivity increase that we got basically for free.
If you're learning Git, I highly recommend reading the other sections of Zulip's Git Guide; we get a lot of positive feedback from developers on it being a useful resource even for their projects unrelated to Zulip.
- Full reproducibility2
- Coupling between orchestration and version control1
- Requires working locally with the data1
- Doesn't scale for big data1
related DVC posts
I already use DVC to keep track and store my datasets in my machine learning pipeline. I have also started to use MLflow to keep track of my experiments. However, I still don't know whether to use DVC for my model files or I use the MLflow artifact store for this purpose. Or maybe these two serve different purposes, and it may be good to do both! Can anyone help, please?
related Replicate posts
Hi! I'm considering GPU cloud computing products, can you share some insights about Modal Labs and its advantages against others such as Replicate AI, Lepton AI, or Together.ai? Thank you so much!
- Best parts of GUI and command line git clients combined1
- Word wise diff highlighting1
- Can be slow on big diffs1