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Data sourced from GitHub API

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  3. avinashkranjan
  4. Amazing-Python-Scripts
Jupyter NotebookNiche visibilityStale activityNo linked package signalPartial snapshot

avinashkranjan/Amazing-Python-Scripts

Rank not captured·Top 100·All-time stars·◐Cached ranking snapshot·Updated Sep 10, 2026

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

Compare closest alternativesOpen GitHub

First read

Useful directional context, not a final verdict yet

avinashkranjan/Amazing-Python-Scripts is better read as a directional signal than a clean recommendation. Keep the snapshot conservative and validate source activity, package reality, and close alternatives before committing to it.

Visible

3.7K public stars in the current GitStar snapshot.

Needs a narrower context read

Active

Last commit Feb 20, 2026.

Stale activity

Adopted

Treat stars as discovery context until a linked package appears.

No linked package mapping

Confidence

One or more key signals are partial, so GitStar keeps the interpretation conservative.

Partial snapshot

Snapshot facts

  • 3.7K stars
  • 1.3K forks
  • Last commit Feb 20, 2026
  • Package usage not mapped yet

Compare lens

rasbt/LLMs-from-scratch and explosion/spaCy 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
Feb 20, 2026

Package reality

No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.

No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.

Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read

Validation note

GitStar can summarize public signals for avinashkranjan/Amazing-Python-Scripts, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.

artificial-intelligencehacktoberfestmachine-learningprojectspythonpython-projectspython-scriptsspeechwebcam
🛡️ Editorial Context

GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.

Why this rank

This repo is here because it still carries strong GitHub attention.

📈 Momentum & Adoption Signals
Approximate star trajectory

Reconstructed from current stars and cached daily/weekly/monthly deltas.

Now: 3.7K
30d ago7d ago1d agoNow
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars3.7K
🧭 Hype vs Reality
Insufficient Package Data

GitStar can see repository momentum, but it does not have a reliable linked package signal yet.

Treat stars and recent movement as discovery context only until npm or PyPI usage is available.

Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Jupyter Notebook repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

rasbt/LLMs-from-scratch

Shares the learning category footprint with avinashkranjan/Amazing-Python-Scripts, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

explosion/spaCy

Shares the learning category footprint with avinashkranjan/Amazing-Python-Scripts, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

Lightning-AI/pytorch-lightning

Shares the learning category footprint with avinashkranjan/Amazing-Python-Scripts, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

nautechsystems/nautilus_trader

Shares the learning category footprint with avinashkranjan/Amazing-Python-Scripts, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked LLMs-from-scratch + spaCy as the closest next comparison from the related repository set.

Open compare presetCompare with LLMs-from-scratchCompare with spaCy
Repo utility

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GitHub Repositoryavinashkranjan/Amazing-Python-ScriptsExport Ranking DataDownload CSV

Wider nearby ecosystem

Compare with LLMs-from-scratchCompare with spaCy
Jupyter Notebook
104.7K stars
rasbt/LLMs-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Python
33.9K stars
explosion/spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

Python
31.3K stars
Lightning-AI/pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Rust
28.7K stars
nautechsystems/nautilus_trader

Production-grade Rust-native trading engine with deterministic event-driven architecture

Python
22.7K stars
marimo-team/marimo

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Python
22K stars
huggingface/datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

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.
Compare the closest alternativesRead the heuristic

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

About This Page

This page provides a quick overview of avinashkranjan/Amazing-Python-Scripts 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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