head to head · open source
llama_index vs InferenceX
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. InferenceX has 1,964 stars, 351 forks, 254 open issues and last shipped yesterday. llama_index leads on adoption by 2,587% (52,779 vs 1,964 stars). llama_index is written in Python under MIT; InferenceX is written in Python under Apache-2.0. llama_index has attracted 16% as many forks as stars, InferenceX 18%. InferenceX 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 | InferenceX | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 2.0K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 8.5K | ⑂ 351 |
| 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 InferenceX if
- You want the InferenceX feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and InferenceX 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 InferenceX
InferenceX™, Open Source Continuous Inference Standard and Research Platform / 开源持续推理标准与研究平台 English 中文 Trusted by Operators of Trillion Dollar Token Factories such as OpenAI, Meta, Microsoft, Oracle, etc, & ML Community such as PyTorch Foundation, vLLM, SGLang, Tri Dao News [2026/08] 🔥 AgentX: World's First Fully Open Source Apache 2.0 Realistic 1Mil+ Long Context, Multi Turn Benchmark Live dashboard [2026/08] 🔥 GLM5.3: continuous agentic benchmarks live too dashboard [2026/07] 🔥 Kimi K3 2.8T: continuous benchmarks live since Day 0 [2026/06] 🔥 MiniMax M3: continuous benchmarks live since Day 0 dashboard…
read the full InferenceX overview →
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Frequently asked questions
Is llama_index or InferenceX more popular?
llama_index has 52,779 GitHub stars and InferenceX has 1,964. llama_index has the larger community by that measure.
Are llama_index and InferenceX free?
Both are open source. llama_index is licensed under MIT and InferenceX under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and InferenceX?
llama_index is written in Python and InferenceX in Python. 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 InferenceX?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose InferenceX if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.