What is Replit and what are its top alternatives?
Replit is a popular online IDE that allows users to write, run, and collaborate on code in various programming languages. It offers features like live code editing, real-time collaboration, instant deployment, and built-in package management. However, Replit has limitations such as restricted CPU and memory usage, limited access to advanced features in the free version, and occasional glitches in the user interface.
- CodeSandbox: CodeSandbox is an online code editor and prototyping tool that supports web development in various frameworks like React, Vue, and Angular. It offers features like instant setup, real-time collaboration, and cloud deployment. Pros: Easy to use, great for web development projects. Cons: Limited support for back-end languages.
- GitHub Codespaces: GitHub Codespaces provides cloud-hosted development environments within GitHub repositories. It offers features like code editing, debugging, and collaboration directly in the browser. Pros: Seamless integration with GitHub, works well for open source projects. Cons: Limited to GitHub repositories only.
- AWS Cloud9: AWS Cloud9 is a cloud-based IDE that provides a full development environment in the cloud. It offers features like code editing, debugging, and collaboration tools. Pros: Scalable and customizable, integrates with other AWS services. Cons: Steeper learning curve for beginners.
- Gitpod: Gitpod is a cloud-based IDE that creates automatic developer environments for GitHub projects. It offers features like pre-built dev environments, code reviews, and Docker support. Pros: Fast setup, great for open-source contributors. Cons: Paid plans required for advanced features.
- Codeanywhere: Codeanywhere is a cloud-based development environment that supports over 75 programming languages. It offers features like file syncing, collaboration tools, and deployment options. Pros: Cross-platform support, mobile-friendly interface. Cons: Limited free tier capabilities.
- PaizaCloud: PaizaCloud is a cloud-based IDE that allows users to run various programming languages in a virtual environment. It offers features like customizable environments, real-time collaboration, and terminal access. Pros: Simple user interface, good for beginners. Cons: Limited storage and processing power.
- Eclipse Che: Eclipse Che is an open-source cloud IDE that provides a container-based workspace for teams to collaborate on code. It offers features like multi-language support, plug-in extensions, and workspace sharing. Pros: Customizable, supports Docker, and Kubernetes. Cons: Complex setup process.
- Coder: Coder is a cloud-based IDE that allows developers to create, share, and run code in containers. It offers features like workspace management, collaboration tools, and VS Code compatibility. Pros: Scalable, supports customization with Docker. Cons: Steeper learning curve for new users.
- CodeEnvy: CodeEnvy is a cloud-based IDE that offers collaborative coding environments for teams. It provides features like workspace automation, integrated version control, and code sharing. Pros: Ideal for team projects, supports multiple programming languages. Cons: Limited free tier capabilities.
- Koding: Koding is a cloud-based development environment that offers a full-featured cloud IDE with a built-in terminal. It provides features like team collaboration, code sharing, and environment customization. Pros: Easy setup, good for remote teams. Cons: Limited storage and processing resources.
Top Alternatives to Replit
- JSFiddle
It is an online community for testing and showcasing user-created and collaborational HTML, CSS and JavaScript code snippets, known as 'fiddles'. It allows for simulated AJAX calls. ...
- 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. ...
- CodePen
It is a social development environment for front-end designers and developers.. It functions as an online code editor and open-source learning environment, where developers can create code snippets, creatively named "pens", and test them. ...
- Glitch
Combining automated deployment, instant hosting and collaborative editing, Gomix gets you straight to coding. The apps you create are instantly live, hosted by us, and always up to date with your latest changes. Build products, prototype ideas, and hack solutions to problems. ...
- Codeanywhere
A development platform that enables you to not only edit your files from underlying services like FTP, GitHub, Dropbox and the like, but on top of that gives you the ability to collaborate, embed and share through Codeanywhere on any device. ...
- CodeSandbox
CodeSandbox allows developers to simply go to a URL in their browser to start building. This not only makes it easier to get started, it also makes it easier to share. You can just share your created work by sharing the URL, others can then (without downloading) further develop on these sandboxes. ...
- PythonAnywhere
It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps. ...
- Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media. ...
Replit alternatives & related posts
- Can't login with third-party app account2
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GitHub
- Open source friendly1.8K
- Easy source control1.5K
- Nice UI1.3K
- Great for team collaboration1.1K
- Easy setup867
- Issue tracker504
- Great community486
- Remote team collaboration482
- Great way to share451
- Pull request and features planning442
- Just works147
- Integrated in many tools132
- Free Public Repos121
- Github Gists116
- Github pages112
- Easy to find repos83
- Open source62
- It's free60
- Easy to find projects60
- Network effect56
- Extensive API49
- Organizations43
- Branching42
- Developer Profiles34
- Git Powered Wikis32
- Great for collaboration30
- It's fun24
- Clean interface and good integrations23
- Community SDK involvement22
- Learn from others source code20
- Because: Git16
- It integrates directly with Azure14
- Newsfeed10
- Standard in Open Source collab10
- Fast8
- It integrates directly with Hipchat8
- Beautiful user experience8
- Easy to discover new code libraries7
- Smooth integration6
- Cloud SCM6
- Nice API6
- Graphs6
- Integrations6
- It's awesome6
- Quick Onboarding5
- Remarkable uptime5
- CI Integration5
- Hands down best online Git service available5
- Reliable5
- Free HTML hosting4
- Version Control4
- Simple but powerful4
- Unlimited Public Repos at no cost4
- Security options4
- Loved by developers4
- Uses GIT4
- Easy to use and collaborate with others4
- IAM3
- Nice to use3
- Ci3
- Easy deployment via SSH3
- Good tools support2
- Leads the copycats2
- Free private repos2
- Free HTML hostings2
- Easy and efficient maintainance of the projects2
- Beautiful2
- Never dethroned2
- IAM integration2
- Very Easy to Use2
- Easy to use2
- All in one development service2
- Self Hosted2
- Issues tracker2
- Easy source control and everything is backed up2
- Profound1
- Owned by micrcosoft53
- Expensive for lone developers that want private repos37
- Relatively slow product/feature release cadence15
- API scoping could be better10
- Only 3 collaborators for private repos8
- Limited featureset for issue management3
- GitHub Packages does not support SNAPSHOT versions2
- Does not have a graph for showing history like git lens2
- No multilingual interface1
- Takes a long time to commit1
- Expensive1
related GitHub posts
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.
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.
CodePen
- No support for any other git-server than github4
related CodePen posts
Brand new (1 week) to coding. Corona killed my industry so I"m making a career change after 25 years. Studying HTML and CSS to become "vertically" proficient, before moving on to JavaScript. So at what point do I need to make a decision on CodePen vs GitHub?
- Bang! App built12
- Instant APPification ;)9
- Auto commits7
- No no. limitation on free projects4
- Easy to use3
- Tons of usable code2
- Awesome support2
- Very fast API creation. Especially for small apps2
- Github Integration1
- UI could be better / cleaner5
- Limited Support/Diffficult to use Non-JS Languages2
- Automatically suspends proxies1
- Not good for big projects1
- Cannot delete project, only the source code is1
related Glitch posts
Codeanywhere
- Sleek interface17
- 3rd party integration16
- Easy to use13
- Web IDE11
- FTP support9
- Fast loading9
- Emmet7
- SSH Connections for free5
- Anywhere coding5
- Full root access5
- GitHub integration4
- Preconfigured development stacks4
- SFTP support4
- Private use for free4
- Easy setup3
- Amazon S3 Integration2
- Easy Setup, Containers2
- Code directly by FTP1
related Codeanywhere posts
- Awesome way to fun kickstart your ReactJS apps9
- Online vs-code editor look and feel to start react7
- Is open-source5
- Easiest way to showcase4
- 250 module limit4
- Hard to use the console1
related CodeSandbox posts
PythonAnywhere
- Web apps15
- Easy Setup11
- Great support8
- Shell access8
- Free plan8
- Super-easy to use7
- Libraries5
- Many things like Python are pre-installed2
- No root access1
- Really small community1
related PythonAnywhere posts
I am going to send my website to a Venture Capitalist for inspection. If I succeed, I will get funding for my StartUp! This website is based on Django and Uses Keras and TensorFlow model to predict medical imaging. Should I use Heroku or PythonAnywhere to deploy my website ?? Best Regards, Adarsh.
I am a Business Analyst, and just completed my Python course and need to start work on a website. I need to host my site, and I am considering Heroku, PythonAnywhere, or GoDaddy (I have purchased a domain from godaddy). For the site, I will be using Python, HTML, CSS, JavaScript, Django, and db MySQL to start with and then move to PostgreSQL.
- In-line code execution using blocks19
- In-line graphing support11
- Can be themed8
- Multiple kernel support7
- LaTex Support3
- Best web-browser IDE for Python3
- Export to python code3
- HTML export capability2
- Multi-user with Kubernetes1
related Jupyter posts
From my point of view, both OpenRefine and Apache Hive serve completely different purposes. OpenRefine is intended for interactive cleaning of messy data locally. You could work with their libraries to use some of OpenRefine features as part of your data pipeline (there are pointers in FAQ), but OpenRefine in general is intended for a single-user local operation.
I can't recommend a particular alternative without better understanding of your use case. But if you are looking for an interactive tool to work with big data at scale, take a look at notebook environments like Jupyter, Databricks, or Deepnote. If you are building a data processing pipeline, consider also Apache Spark.
Edit: Fixed references from Hadoop to Hive, which is actually closer to Spark.
Jupyter Anaconda Pandas IPython
A great way to prototype your data analytic modules. The use of the package is simple and user-friendly and the migration from ipython to python is fairly simple: a lot of cleaning, but no more.
The negative aspect comes when you want to streamline your productive system or does CI with your anaconda environment: - most tools don't accept conda environments (as smoothly as pip requirements) - the conda environments (even with miniconda) have quite an overhead