head to head · open source
llama_index vs envd
llama_index has 52,776 GitHub stars, 8,495 forks, 770 open issues and last shipped 8 days ago. envd has 2,241 stars, 169 forks, 139 open issues and last shipped 2 days ago. llama_index leads on adoption by 2,255% (52,776 vs 2,241 stars). llama_index is written in Python under MIT; envd is written in Go under Apache-2.0. llama_index has attracted 16% as many forks as stars, envd 8%. envd was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| llama_index | envd | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 2.2K |
| License | MIT | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-10-26 | 2026-11-01 |
| Forks | ⑂ 8.5K | ⑂ 169 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 53K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick envd if
- You want the envd feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and envd fits your workflow better
About llama_index
🗂️ LlamaIndex (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to build the best free, fast, cheap text parser in the market. ParseBench and ExtractBench represent our commitment towards open benchmarking for parsing and extraction. The company itself has undergone an evolution since when this OSS framework first launched 3 years ago in 2023. Since the early days, the framework has consisted of a…
read the full llama_index overview →
About envd
Development environment for AI/ML What is envd? envd ( ɪnˈvdɪ ) is a command line tool that helps you create the container based development environment for AI/ML. Creating development environments is not easy, especially with today's complex systems and dependencies. With everything from Python to CUDA, BASH scripts, and Dockerfiles constantly breaking, it can feel like a nightmare until now! Instantly get your environment running exactly as you need with a simple declaration of the packages you seek in build.envd and just one command: envd up ! Why use envd ? Environments built with envd provide the following…
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Frequently asked questions
Is llama_index or envd more popular?
llama_index has 52,776 GitHub stars and envd has 2,241. llama_index has the larger community by that measure.
Are llama_index and envd free?
Both are open source. llama_index is licensed under MIT and envd under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and envd?
llama_index is written in Python and envd in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, llama_index or envd?
Choose llama_index if you want the larger community (52,776 stars) or its MIT licence terms. Choose envd if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.