head to head · open source
llama_index vs JustHireMe
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. JustHireMe has 2,271 stars, 366 forks, 38 open issues and last shipped 25 days ago. llama_index leads on adoption by 2,224% (52,779 vs 2,271 stars). llama_index is written in Python under MIT; JustHireMe is written in Python under AGPL-3.0. llama_index has attracted 16% as many forks as stars, JustHireMe 16%. llama_index was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agents, rag, vector-database), so they are genuine substitutes rather than adjacent tools.
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 | JustHireMe | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 2.3K |
| License | MIT | AGPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-10-26 | 2026-10-09 |
| Forks | ⑂ 8.5K | ⑂ 366 |
| 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 JustHireMe if
- You want the JustHireMe feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Python
- You evaluated both and JustHireMe 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 JustHireMe
JustHireMe Local first AI job intelligence for scraping better roles, ranking fit, and generating tailored application materials. What It Does · Workflow · Architecture · Quick Start · Standard Procedure · Agent Skill + MCP · Contributing · Roadmap Star History The Short Version JustHireMe is an AGPL licensed, local first desktop workbench for people who are tired of noisy job boards and black box AI apply tools. Maintainer JustHireMe is built and maintained by Vasudev Siddh full stack AI engineer, open source builder, and the person who got tired of bad job…
read the full JustHireMe overview →
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Frequently asked questions
Is llama_index or JustHireMe more popular?
llama_index has 52,779 GitHub stars and JustHireMe has 2,271. llama_index has the larger community by that measure.
Are llama_index and JustHireMe free?
Both are open source. llama_index is licensed under MIT and JustHireMe under AGPL-3.0. Neither carries a licence fee.
What is the difference between llama_index and JustHireMe?
llama_index is written in Python and JustHireMe 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 JustHireMe?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose JustHireMe if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.