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Agents tracked: 440 Downloads (7d): 202M down 19.5% GitHub stars: 10.4M Releases (7d): 607 Agent status: all upSince last limit reset: Claude 28d · Codex 0d Updated Oct 21, 2026

NiBabel

Read and write neuroimaging data formats like NIfTI and DICOM for brain imaging.

ML and data science PyPI MIT

Used in agent projects
1
0.1% of 1,622 Python repos built with AI coding agents; 58 counting our dependency samples
Gid Score
46 /100
#1893 of 3,794 tools, #116 in ml and data science · ranking
Rank in ml and data science
#129 of 262
by use in those projects
Downloads
430K
PyPI, last 7 days, nibabel
GitHub stars
—
no public repo found

How NiBabel is used

NiBabel is a dependency in 1 of the 6,208 public GitHub projects set up for AI coding agents that we scanned, too few to describe it from them alone. Our scan also samples projects by dependency (Solana 2,661, Ethereum and EVM 1,496, 3D and games 2,818, agent frameworks and SDKs 10,983); counting those, it appears in 58 projects, and what it is used with below comes from all of them. Projects that use it most often also use NumPy (98.3%), pandas (94.8%), lxml (91.4%).

NiBabel popularity over time

Top tools by Gid Score

NiBabel: downloads per weekPyPI, nibabel 425,857

Gid Score 46: downloads 56, use in agent projects 43, GitHub stars n/a, downloads trend 59 (each 0-100). How it is calculated.

Often used with NiBabel

NumPy98.3% of NiBabel projects · 16.9× more than average
pandas94.8% of NiBabel projects · 22.0× more than average
lxml91.4% of NiBabel projects · 71.8× more than average
Matplotlib91.4% of NiBabel projects · 34.0× more than average
Click89.7% of NiBabel projects · 35.9× more than average
packaging89.7% of NiBabel projects · 61.2× more than average
Pillow89.7% of NiBabel projects · 23.4× more than average

From all 58 projects in our scan that use NiBabel, including the dependency samples.

Install

Alternatives to NiBabel

All ml and data science

In our scan, none of the most used tools in ML and data science does the same job as NiBabel: they are add-ons, companions or tools for a different task.

More in ML and data science: NumPy pandas scikit-learn SciPy PyTorch Sentence Transformers Hugging Face Transformers NetworkX

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