List of Top Free Open Source & Self Hosted Application for Software Development - IDE & Tools

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An integrated development environment (IDE) is a software application that provides comprehensive facilities to computer programmers for software development.

Atheos – Web-based IDE framework with a small footprint and minimal requirements, continued from Codiad. MIT PHP
code-server – VS Code in the browser, hosted on a remote server. MIT Nodejs/Docker
Coder – Remote development machines on your own infrastructure. AGPL-3.0 Go
Eclipse Che – Open source workspace server and cloud IDE. EPL-1.0 Docker/Java
Hakatime – WakaTime server implementation with analytics dashboard. Unlicense Haskell
HttPlaceholder – Quickly mock away any webservice using HttPlaceholder. HttPlaceholder lets you specify what the request should look like and what response needs to be returned. MIT C#
ICEcoder – ICEcoder is a web IDE / browser based code editor, which allows you to develop websites directly within the web browser. MIT PHP
Judge0 CE – Open source API to compile and run source code. GPL-3.0 Ruby
JupyterLab – Web-based environment for interactive and reproducible computing. BSD-3-Clause Python/Docker
Lowdefy – Build internal tools, BI dashboards, admin panels, CRUD apps and workflows in minutes using YAML / JSON on an self-hosted, open-source platform. Connect to your data sources, host via Serverless, Netlify or Docker. Apache-2.0 Nodejs
ML Workspace – All-in-one web-based IDE for machine learning and data science. Apache-2.0 Docker
RStudio Server – Web browser based IDE for R. AGPL-3.0 Java/C++
sourcegraph – Sourcegraph is a fast, open-source, fully-featured code search and navigation engine written in Go. Apache-2.0 Go
Wakapi – Tracking tool for coding statistics, compatible with WakaTime. GPL-3.0 Go

Ashwani K

👤 About the Author

Ashwani is passionate about DevOps, DevSecOps, SRE, MLOps, and AiOps, with a strong drive to simplify and scale modern IT operations. Through continuous learning and sharing, Ashwani helps organizations and engineers adopt best practices for automation, security, reliability, and AI-driven operations.

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