head to head · open source
txtai vs paradedb
txtai has 13,062 GitHub stars, 962 forks, 9 open issues and last shipped 2 days ago. paradedb has 9,476 stars, 496 forks, 193 open issues and last shipped yesterday. txtai leads on adoption by 38% (13,062 vs 9,476 stars). txtai is written in Python under Apache-2.0; paradedb is written in Rust under AGPL-3.0. txtai has attracted 7% as many forks as stars, paradedb 5%. paradedb 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
| txtai | paradedb | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 9.5K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | Rust |
| Last push | 2026-11-03 | 2026-11-04 |
| Forks | ⑂ 962 | ⑂ 496 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick txtai if
- You weight community size — 13K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick paradedb if
- You want the paradedb feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Rust
- You evaluated both and paradedb fits your workflow better
About txtai
All in one AI framework txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows. The key component of txtai is an embeddings database, which is a union of vector indexes (sparse and dense), graph networks and relational databases. This foundation enables vector search and/or serves as a powerful knowledge source for large language model (LLM) applications. Build autonomous agents, retrieval augmented generation (RAG) processes, multi model workflows and more. Summary of txtai features: 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and…
read the full txtai overview →
About paradedb
Search without a second system. One Postgres for your application data, full text search, vector retrieval, and aggregations. Website • Docs • Community • Blog • Changelog Installation To install ParadeDB locally in a fresh Docker container and drop straight into a psql session: When you're ready to deploy, check out our hosting options. What is ParadeDB? ParadeDB upgrades Postgres with a custom index for fast full text and vector search, BM25 scoring, filtering, and aggregations. Your application data and search engine live in one database, with no second system to deploy and nothing to…
read the full paradedb overview →
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Frequently asked questions
Is txtai or paradedb more popular?
txtai has 13,062 GitHub stars and paradedb has 9,476. txtai has the larger community by that measure.
Are txtai and paradedb free?
Both are open source. txtai is licensed under Apache-2.0 and paradedb under AGPL-3.0. Neither carries a licence fee.
What is the difference between txtai and paradedb?
txtai is written in Python and paradedb in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, txtai or paradedb?
Choose txtai if you want the larger community (13,062 stars) or its Apache-2.0 licence terms. Choose paradedb if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.