Thriving JU Hands-on labs for Microsoft Foundry - Azure's unified PaaS for enterprise AI. Notebooks + Bicep covering provisioning, agents (incl. hosted Copilot SDK + REST), MCP, Foundry IQ knowledge bases, guardrails, red-teaming, and fine-tuning.
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A hands-on lab series for Microsoft Foundry NextGen - Azure’s unified PaaS for enterprise AI operations, model builders, and application development. Each lab demonstrates a specific Foundry pattern: provisioning, agents, hosted Copilot SDK agents, MCP tools, knowledge bases, fine-tuning, guardrails, red-teaming, observability, and more.
Foundry unifies agents, models, and tools under one Azure resource provider namespace with built-in tracing, monitoring, evaluations, and a single RBAC/networking/policy surface. These labs put that platform through its paces end-to-end.
cognitiveservices CLI extension - az extension add -n cognitiveservicesuv Python package manager - installaz logingit clone https://github.com/corticalstack/awesome-foundry-nextgen.git
cd awesome-foundry-nextgen
cp .env.example .env # then fill in your values
uv sync
uv run jupyter notebook
Auth is…
How much a project earns versus how much attention it actually gets. Above 50 means the work is outrunning its audience. Recomputed nightly from commit velocity, contributor effort, issue resolution, fork utility, release cadence, and project maturity — divided by a logarithmic reach factor.
score = signal / reach
signal = 0.25·commit_velocity // commits in last 90 days (cap 30)
+ 0.20·contributor_work // unique authors × velocity (cap 100)
+ 0.20·issue_resolution // closed ÷ total issues
+ 0.20·fork_ratio // forks ÷ stars (proxy for real usage)
+ 0.10·release_cadence // releases in 90 days (cap 3)
+ age_bonus // +0 to +0.30 after 6 months
+ homepage_bonus // +0.05 if homepage is set
reach = log₁₀(stars + watchers + 10)█ Is the project alive and maintained right now? A 0–100 pulse recomputed nightly from commit recency, rhythm, how fast issues close, and how quickly PRs get merged.
health = 0.35·recency // days since last commit (90d decay)
+ 0.25·cadence // commit rhythm consistency
+ 0.20·issue_health // closed ÷ total issues
+ 0.20·pr_health // merged ÷ total PRs█ The colour and label on every card come straight from the health score.
Healthy 80 – 100 active, responsive, regular releases
Stable 60 – 79 maintained, steady, no alarms
Quiet 40 – 59 slowing down — watch this one
At Risk 0 – 39 going dark · candidate for rescue█ Tags are independent behavioral signals computed nightly. A project can hold multiple at once. They drive the home page sections.
solo_builder one person holds > 80% of commits (last 180d)
needs_contributors has open "help wanted" or "good first issue" labels
hidden_gem < 100 stars · active in last 3 months · documented
legacy_hero repo > 5 years old · committed this year
fork_magnet forks/stars > 0.5 · used as template or dependency
release_machine 5+ releases in the last 90 days
under_pressure > 10 open issues · ≤ 2 contributors · health ≥ 60
community_watch watchers > stars · devs tracking before the public
community_hub GitHub Discussions enabled · > 20 discussions
funded maintainer has active funding channel█ Stars are an outcome, not effort. A project with 8 stars and daily commits is doing more interesting work than one coasting on 8k. We measure the building, then divide by the attention already received — so the genuinely undervalued rise to the top.
// stars = lagging indicator
// commits = leading indicator
// we rank by the leading one█