lmcinnes / umap
Uniform Manifold Approximation and Projection
- Stars
- 8,296 stars
- Forks
- 886 forks
- Language
- Python
- License
- BSD-3-CLAUSE
- Created
- Jul 2, 2017
- Last push
- Nov 11, 2026
- Updated
- Nov 11, 2026
Why these Tags: an agent read the README and quoted it
- Classical machine learning library from the description:
Uniform Manifold Approximation and Projection
An agent gave these Tags from the fixed Tag list in the AwesomeRepos source code. A code check kept each Tag only when its quote is in the text. A wrong Tag? Report an error with the form at the end of this page.
Admitted to the Repository Index on Nov 10, 2026: 8,289 stars on 2026-11-10.
Star History
188 days recorded, May 8, 2026 – Nov 11, 2026 (UTC). Net change +168 stars.
The star count of each day is the latest count minus the net stars of the later days.
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Star History chart
[](https://awesomerepos.com/lmcinnes/umap) Badge
[](https://awesomerepos.com/lmcinnes/umap) Timeline
It gained stars on 111 of the 188 days recorded since May 8, 2026.
Its largest 7 days were Jul 15, 2026 to Jul 21, 2026: 13 stars.
In the 30 days to Nov 11, 2026 it got 30 stars, 58% more than in the 30 days before.
It had 8,128 stars before May 8, 2026 and has 8,296 stars now: 1,704 fewer than 10,000.
- Created on the Repository Host
- Release release-0.5.10.post1
- Release release-0.5.10.post2
- Release release-0.5.11
- Release release-0.5.12
- +4 stars in one day
- +4 stars in one day
- Entered the Repository Index: 8,289 stars on 2026-11-10
- Release release-0.6.0
- Largest star day recorded: +8 stars, 1 day after release release-0.6.0
- Latest push
The timeline comes from the creation date and the releases on the Repository Host, the Admission, the Star History, and the Observations. Star milestones show only when the Star History records the day. The list shows up to 5 stable releases from the latest 10 releases recorded. When none of them is stable, one item counts the pre-releases. On the chart of net stars each day, a solid line marks each recorded release.
Forks and pushes
From 2 Observations, Nov 11, 2026 – Nov 12, 2026. Forks +5. AwesomeRepos saw a new push on 1 of 1 days.
- Nov 12, 2026: new push
A filled day: the last push time changed since the Observation before it.
Health facts
Measured facts in four separate dimensions, each with a date and a source. AwesomeRepos does not add them into one score. AwesomeRepos reads the weekly commits, the changelog, and the community files each week for the 5,000 visible repositories with the most stars and for each rising repository. How AwesomeRepos defines each check
Copies a prompt for a coding agent. It has 1 task for the maintainers of lmcinnes/umap.
Improve the Health Facts of the GitHub repository lmcinnes/umap. AwesomeRepos measures facts about how a repository is maintained, released, secured, and documented. Its page for this repository is https://awesomerepos.com/lmcinnes/umap. A change to the repository can improve each of the item below. Each item gives the measured fact or score, and a task. 1. The newest release tag is a semantic version Fact: The newest release tag is release-0.6.0. Rule: The tag of the newest release has the form 1.2.3 or v1.2.3, with an optional pre-release or build part. There is no data when the repository has no release. Task: Make the next release tag a semantic version (1.2.3 or v1.2.3). Do not change or delete a published tag. If a release tool makes the tags, configure it for semantic versions, and write the version scheme in the contributing guide. Rules for this work: - Each file must be true for this project. Do not copy text that does not apply to it. - Do not choose a licence, a contact, or a release version for me. Ask me. - Do not publish a release, change a repository setting, or push to the default branch. Make the changes on a new branch. - Keep each change small, and run the checks of this repository before you finish. - At the end, list each item as DONE, SKIPPED (with the reason), or NEEDS A DECISION (with the question). AwesomeRepos reads these facts again in its next scan. The definitions of the checks: https://awesomerepos.com/health-facts
Maintenance
2 of 4 checks (2 without data)-
Yes: Not archived
GitHub does not mark the repository as archived. Source
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Yes: A push in the last 90 days
Last push on 2026-11-11, 1 day ago. Source
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No data: Commits in the last 13 weeks
No data: AwesomeRepos has not read the weekly commits.
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No data: Commits in 26 or more of the last 52 weeks
No data: AwesomeRepos has not read the weekly commits.
Releases
1 of 3 checks (1 without data)-
Yes: A release in the last 365 days
Newest release release-0.6.0 on 2026-11-10, 2 days ago. 7 releases in the last 365 days. Source
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No: The newest release tag is a semantic version
The newest release tag is release-0.6.0. Source
-
No data: A changelog file at the root
No data: AwesomeRepos has not scanned this repository.
Security practice
0 of 1 check (1 without data)-
No data: A security policy
No data: AwesomeRepos has not scanned this repository.
AwesomeRepos has not asked OpenSSF Scorecard about this repository.
Community files
1 of 3 checks (2 without data)-
Yes: A licence
GitHub finds the licence BSD-3-CLAUSE. Source
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No data: A contributing guide
No data: AwesomeRepos has not scanned this repository.
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No data: A code of conduct
No data: AwesomeRepos has not scanned this repository.
Dependencies in the index
This section shows the packages that connect this repository to other repositories in the index.
The GitHub dependency graph of this repository names 41 direct packages (scanned on Nov 12, 2026). Packages from 13 other repositories in the index are among them.
47 scanned repositories name a package from this repository.
Uses (in the index) · 13
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PyPI: scikit-learn
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PyPI: pandas
- numpy/numpy 33K
PyPI: numpy
- tqdm/tqdm 31K
PyPI: tqdm
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PyPI: matplotlib
- bokeh/bokeh 20K
PyPI: bokeh
- scipy/scipy 15K
PyPI: scipy
- mwaskom/seaborn 14K
PyPI: seaborn
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PyPI: pillow
- numba/numba 11K
PyPI: numba
Show all 13
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GitHub Actions: actions/checkout
- sphinx-doc/sphinx 8.1K
PyPI: sphinx
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PyPI: sphinx-rtd-theme
Used by (in the index) · 47
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PyPI: umap-learn
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PyPI: umap-learn
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PyPI: umap-learn
- coqui-ai/TTS 46K
PyPI: umap-learn
- PostHog/posthog 41K
PyPI: umap-learn
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PyPI: umap-learn
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PyPI: umap-learn
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PyPI: umap-learn
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PyPI: umap-learn
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PyPI: umap-learn
Show 20 more
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PyPI: umap-learn
- plotly/plotly.py 19K
PyPI: umap-learn
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PyPI: umap-learn
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PyPI: umap-learn
- rerun-io/rerun 12K
PyPI: umap-learn
- voxel51/fiftyone 11K
PyPI: umap-learn
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PyPI: umap-learn
- mozilla/TTS 10K
PyPI: umap-learn
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PyPI: umap-learn
- librosa/librosa 8.9K
PyPI: umap-learn
- NVIDIA/cuml 5.3K
PyPI: umap-learn
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PyPI: umap-learn
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PyPI: umap-learn
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PyPI: umap-learn
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PyPI: umap-learn
- winpython/winpython 2.3K
PyPI: umap-learn
- scverse/scvi-tools 1.7K
PyPI: umap-learn
- bowang-lab/scGPT 1.7K
PyPI: umap-learn
- koaning/scikit-lego 1.4K
PyPI: umap-learn
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PyPI: umap-learn
The page lists the 30 with the most stars, of 47.
Sources: the GitHub dependency graph of each repository, and deps.dev for the source repository of each package (checked on Nov 3, 2026). A dependency graph also names development packages. deps.dev takes most source repositories from package metadata. How the dependency graph is made
Observations
Latest Observation, Nov 12, 2026: 8,296 stars, 886 forks, last push Nov 11, 2026, not archived. One of 2 Observations since Nov 11, 2026.