# analyticalmonk/awesome-neuroscience

A curated list of awesome neuroscience libraries, software and any content related to the domain.

Repository: https://github.com/analyticalmonk/awesome-neuroscience
Canonical: https://ross.abutalabs.com/products/awesome-neuroscience
Homepage: https://www.akashtandon.in/awesome-neuroscience/
License Family: other
Topics: neuroscience, mooc, brain, awesome-list, matlab, python, intelligence, awesome, list, hacktoberfest, eeg, meg, nirs
Last push: 2026-06-24T09:55:59+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 89, release rhythm 35, longevity 100
- inputs: {"age_days": 3438, "days_push": 70, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1703, forks 181 (observed 2026-08-28T04:05:24.539167+00:00)

## What it is
A curated list of neuroscience libraries, software, and educational content including ebooks, blogs, MOOCs, and communities. It organizes resources by programming language (Python, Matlab, C++, JavaScript, R) and covers tools for neuroimaging, neural signal processing, and brain modeling.

## Use cases
- find python libraries for analyzing EEG and MEG neural signals
- discover neuroscience MOOCs and ebooks for learning brain science
- locate tools for simulating spiking neural networks
- find software for neuroimaging data analysis like fMRI and diffusion MRI
- search for frameworks to run psychology and neuroscience experiments
- find resources for spike-sorting and neural timeseries analysis
- discover communities and newsletters about neuroscience research

## When to choose
- you want a starting point to discover neuroscience software and learning materials
- you need curated recommendations across multiple programming languages for brain research
- you are a student or researcher looking for courses, books, and tools in one place

## When to avoid
- you need a working software tool rather than a list of links to other projects
- you require production-ready, maintained code with a license and support
- you need deep technical documentation for a specific neuroscience library

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: awesome-lists, tutorials, education
- platform: cross-platform
- tags: neuroscience, awesome-list, curated-resources, eeg, meg, nirs, neuroimaging, spiking-neural-networks, matlab, python, moocs, ebooks, brain-modeling, behavioral-experiments

## Member repositories
- analyticalmonk/awesome-neuroscience (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:24.539167+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:37:37.406763+00:00, confidence not recorded.
  - readme: https://github.com/analyticalmonk/awesome-neuroscience (fetched 2026-08-28T04:05:24.539167+00:00, sha 8ea34171754a)
  - homepage: https://www.akashtandon.in/awesome-neuroscience/ (fetched 2026-08-29T11:12:21.733625+00:00, sha e910b07d1ba5)
- Data as of 2026-08-30T08:39:29.467469+00:00.