nebuly-ai/optimate
A collection of libraries to optimise AI model performances
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
[Legacy] This repository is now in a legacy phase and is no longer actively maintained. Although the source code is still available in the Git history, there will be no additional updates or official support. [About Nebuly] Our team is fully committed on creating the best user-experience platform for LLMs so that companies can understand user behavior at scale when interacting with their LLM-based products. [About optimate] We have open-sourced a couple of internal projects to the community, but we are not currently maintaining them. Optimate is a collection of libraries designed to help you optimize your AI models. It is an open-source project developed by Nebuly AI but…
Read the full README ↗ · Preview checked 2026-10-28T08:20:54.999Z
Inside the original README — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
A collection of libraries to optimise AI model performances
Repository facts
- Owner
- nebuly-ai
- Primary language
- Python
- Stars
- 8,327
- Forks
- 610
- Open issues + pull requests
- 109
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2022-02-12T17:17:14.000Z
- Last push
- 2024-07-22T02:07:03.000Z
Topics and intended use
Owner-supplied topics: ai, analytics, artificial-intelligence, deeplearning, large-language-models, llm
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-31T13:20:02.570Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related repositories
EbookFoundation/free-programming-books
donnemartin/system-design-primer