TheAlgorithms/Jupyter
Rank not captured·Top 100·All-time stars·Cached ranking snapshot·
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
First read
Real package usage exists, but freshness needs a closer look
TheAlgorithms/Jupyter shows signs of reuse beyond stars, yet recent activity is softer. Read the repository as a potentially durable dependency, but verify maintenance rhythm before treating it as a default choice.
Visible
916 public stars in the current GitStar snapshot.
Needs a narrower context read
Active
Last commit May 3, 2024.
Stale activity
Adopted
pypi gives the strongest production-style signal.
3.1M/week
Confidence
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 916 stars
- 333 forks
- Last commit May 3, 2024
- pypi 3.1M/week
Compare lens
explosion/spaCy and AMAI-GmbH/AI-Expert-Roadmap are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
May 3, 2024
Package reality
GitStar found pypi:jupyter. Package traffic can help separate visible repositories from dependencies that are quietly used in real workflows.
Hype vs Reality
Hidden Gem
Package mapping
pypi · jupyter
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for TheAlgorithms/Jupyter, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
Package signal
Install & Package Signals
GitStar uses the strongest linked package signal below when it reads Hype vs Reality for this repository.
Hidden Gem
Package adoption looks stronger than headline visibility alone suggests.
PyPI package
jupyter
3.1M downloads/week
pip install jupyter
🛡️ Editorial Context
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines package adoption.
Package adoption
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 916
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars916
Weekly package downloads3.1M
🧭 Hype vs Reality
Hidden GemPackage adoption looks stronger than headline visibility alone suggests.
The repo may matter more in real dependency graphs than its current star narrative implies, so compare it against louder peers before dismissing it.
Status
Hidden Gem
Package footprint
PyPI · 3.1M/week
Method note
Hidden Gem means the strongest package signal is healthy relative to the repo’s star base or recent momentum. Compare it against other Jupyter Notebook repos before treating stars as a moat.
Related alternative
explosion/spaCy
Shares the learning category footprint with TheAlgorithms/Jupyter, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
AMAI-GmbH/AI-Expert-Roadmap
Shares the learning category footprint with TheAlgorithms/Jupyter, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
bharathgs/Awesome-pytorch-list
Shares the learning category footprint with TheAlgorithms/Jupyter, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
microsoft/nni
Shares the learning category footprint with TheAlgorithms/Jupyter, so the comparison is closer to a same-problem decision than a same-language coincidence.
Research links
Cross-links
Compare against related repos
GitStar picked spaCy + AI-Expert-Roadmap as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
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<a href="https://gitstar.space/repo/TheAlgorithms/Jupyter"><img src="https://gitstar.space/api/badge/TheAlgorithms/Jupyter" alt="GitStar"></a>Styles:
Wider nearby ecosystem
Python
33.8K starsexplosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
JavaScript
31.2K starsAMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
Unknown
16.6K starsbharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Python
14.4K starsmicrosoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Python
64.2K starskeras-team/keras
Deep Learning for humans
Python
16.5K starspiskvorky/gensim
Topic Modelling for Humans
Next step after the validation read
Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
About This Page
This page provides a quick overview of TheAlgorithms/Jupyter based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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