Простая установка
SubTracker
A modern self-hostable subscription manager with flexible reminder rules
★ 121 звездаGPL-3.0
Смотреть руководство →otari — проект с открытым исходным кодом из категории «Простая установка» от mozilla-ai (mozilla-ai/otari на GitHub). У него 504 звезды на GitHub и 59 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 3 октября 2026.
Open source, OpenAI-compatible LLM gateway you run yourself.
Clone mozilla-ai/otari and move into the project folder.
Install the Python requirements with pip — a virtual environment keeps things clean.
Follow the quick-start — setup is intentionally short.
Use it in a real workflow right away.
Built around artificial intelligence from the ground up.
Acts as a gateway across AI providers.
Integrates with Anthropic's Claude models.
Manages API keys centrally.
Budget controls for AI spend.
Tracks token usage and cost.
Download the source and move into the project folder.
git clone https://github.com/mozilla-ai/otari.git
cd otariSet up what the project needs to run.
pip install -r requirements.txtStart the app — the README has the exact command and flags.
python main.py # entrypoint varies — check the READMEApache-2.0 licensed — permissive, with a patent grant.
The app itself is free; cloud models need your own API key and are billed by the provider. Local models cost nothing to run.
It is designed to keep data on your machine or your server. Check the docs for any optional cloud features.
Clone the repo and pip-install the requirements — the README covers the exact steps.
The GitHub repo's issues and discussions are the main support channel.
A modern self-hostable subscription manager with flexible reminder rules
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Другие проекты из категории «Простая установка» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если otari вам не подходит.
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Соседние проекты из категории «Простая установка» в каталоге, ближайшие по числу звёзд к otari — продолжайте изучать полку по обе стороны от него.
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