head to head · open source
local-deep-research vs TeslaLogger
local-deep-research has 9,499 GitHub stars, 903 forks, 889 open issues and last shipped yesterday. TeslaLogger has 643 stars, 180 forks, 226 open issues and last shipped 3 days ago. local-deep-research leads on adoption by 1,377% (9,499 vs 643 stars). local-deep-research is written in Python under MIT; TeslaLogger is written in C# under GPL-3.0. local-deep-research has attracted 10% as many forks as stars, TeslaLogger 28%. local-deep-research was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (home-automation), 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
| local-deep-research | TeslaLogger | |
|---|---|---|
| GitHub stars | ★ 9.5K | ★ 643 |
| License | MIT | GPL-3.0 |
| Written in | Python | C# |
| Last push | 2026-11-04 | 2026-11-02 |
| Forks | ⑂ 903 | ⑂ 180 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick local-deep-research if
- You weight community size — 9.5K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick TeslaLogger if
- You want the TeslaLogger feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches C#
- You evaluated both and TeslaLogger fits your workflow better
About local-deep-research
Local Deep Research AI powered research assistant for deep, agentic research Performs deep, agentic research using multiple LLMs and search engines with proper citations 🧪 First open source project — fully local on a single RTX 3090 (Qwen3.6 27B) — to report 95% SimpleQA (n=500) and 77% xbench DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. ▶️ Watch Review by The Art Of The Terminal 🚀 What is Local Deep Research? AI research assistant you control. Run locally for privacy, use any LLM and build your own searchable knowledge base. You own your data and see…
read the full local-deep-research overview →
About TeslaLogger
TeslaLogger [![Contributors][contributors shield]][contributors url] [![Forks][forks shield]][forks url] [![Stargazers][stars shield]][stars url] [![Issues][issues shield]][issues url] TeslaLogger is a self hosted data logger for your Tesla Model S/3/X/Y/Cybertruck and Lucid AIR. Currently it supports RaspberryPi 3B, 3B+, 4B, Docker and Synology NAS. You may purchase a ready to go Raspberry PI with TeslaLogger installed Or a Teslalogger Image for a Raspberry PI 3B+ Or a Teslalogger Image for a Raspberry PI 4B You can also run it for free in a Docker / Synology: Docker Setup Configuration Connect your Raspberry…
read the full TeslaLogger overview →
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Frequently asked questions
Is local-deep-research or TeslaLogger more popular?
local-deep-research has 9,499 GitHub stars and TeslaLogger has 643. local-deep-research has the larger community by that measure.
Are local-deep-research and TeslaLogger free?
Both are open source. local-deep-research is licensed under MIT and TeslaLogger under GPL-3.0. Neither carries a licence fee.
What is the difference between local-deep-research and TeslaLogger?
local-deep-research is written in Python and TeslaLogger in C#. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, local-deep-research or TeslaLogger?
Choose local-deep-research if you want the larger community (9,499 stars) or its MIT licence terms. Choose TeslaLogger if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.