GitHub
Trends Watch
Automated GitHub Trending Analysis & Reporting
Daniel Liezrowice-Zuwasi | ESL | 2026
Trending moves fast.
You should not have to.
Tedious checks
Manual browsing is repetitive, time-consuming, and easy to postpone.
Missed signals
Promising repositories rise and disappear before your next visit.
No context
A snapshot provides no scoring, deeper analysis, or searchable history.
One automated intelligence pipeline
GitHub Trends Watch transforms a noisy feed into a focused, scored, agent-analyzed report—delivered on your schedule.
01 · Scrape
Capture current trending repositories.
02 · Rate
Score quality, growth, and signals.
03 · Analyze
Add insight from your preferred agent.
04 · Report
Visualize and deliver by email.
From trend to inbox
Classify
Analysis
A repeatable workflow with local history at every run.
Your cadence, your choice
Daily
Stay on top of fast-moving projects.
Weekly
A concise recurring digest.
Custom interval
Every 1–30 days or every 1–30 weeks.
Run a one-off report instantly—without changing the schedule.
Works with the tools you already use
Installed coding agents are detected automatically. Pick the one you want from a simple dropdown.
Overall Score 0–100
Community combines forks and contributor activity.
Understand quality at a glance
85–100
Exceptional
70–84
Excellent
50–69
Promising
30–49
Emerging
0–29
Early / limited
Automatic category detection
Repository descriptions are translated into useful subject areas—without manual tagging.
From experiment to institution
Experimental
< 100 stars
Early-Stage
100–999
Growing
1K–4.9K
Mature
5K–19.9K
Established
20K+ stars
Innovation & Security
Innovation Score
Growth velocity ratio
Highlights repositories gaining attention unusually quickly relative to their existing star base.
Security Score
Evidence-based heuristic
Combines maturity, scrutiny implied by forks, and contributor diversity into a practical signal.
Decision-ready, in your inbox
Repository cards summarize the essentials. Three charts compare top stars, language share, and stars gained today.
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Ten ready-to-use presets
Choose a provider, enter credentials, and let the app configure the connection details.
Control the signal-to-noise ratio
Momentum
Minimum total stars
Minimum stars today
Scope
Maximum repositories
Language filter
Relevance
Include / exclude keywords
Spoken language filter
A focused, cross-platform GUI
Built with tkinter
Native Python interface with no browser or web server required.
Cross-platform
A consistent configuration experience across desktop environments.
Three ways to run
GUI mode
Configure visually
python main.pyBackground
Scheduled daemon
--backgroundCheck now
One-shot run
--check-nowEvery report becomes a record
Saved locally
Review previous results, compare snapshots, and retain your own trend history.
Automatic cleanup
Retention is managed automatically so report storage stays under control.
Up and running in four steps
Install dependencies
pip install -r requirements.txtLaunch
python main.pyConfigure
Choose schedule, agent, email, and filters.
Start
Enable the scheduler—or run Check now.
Simple, proven Python tooling
A lightweight desktop stack for collection, analysis, visualization, and reliable delivery.
Watch trends.
See signals.
GitHub Trends Watch by Daniel Liezrowice-Zuwasi / ESL
github.com/zuwasi/GitHub-Trends-Watch ↗
