Bring Structure to Prompt Operations

Pezzo helps teams manage prompts, versions, collaboration, and observability across the LLM application lifecycle.

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Reliability breakdown

What drives the reliability score

Component scores measured daily from GitHub activity (2026-07-18).

Continuity30% of headline13

Activity on 0 of 90 tracked days in the last 90 and 0 of 30 in the last 30.

Closure30% of headline0

Merged 0 of 0 PRs opened and closed 0 of 0 issues opened over the last 90 tracked days โ€” PR flow carries 55% of this component, issue flow 45%.

Shipping20% of headline0

0 releases in the last 180 days, 0 in the last 90 and 0 in the last 30 โ€” a steady cadence scores highest.

Liveness10% of headline100

Last push 111 days ago โ€” freshness decays as pushes age (roughly halves every 83 days without a push).

Support burden10% of headline67

Open-issue load isn't tracked for this repo yet.

Adoption confidence37

Modeled โ€” how confidently teams are adopting this repo. Stargazers

Maintenance quality23

Modeled from PR/issue responsiveness and upkeep signals. Activity pulse

Risk score53

Modeled โ€” lower is better; adoption and continuity risk. Repository

Stays active (30d)12%

Modeled chance the repo stays active over 30 days. Activity pulse

Stays active (90d)33%

Modeled chance the repo stays active over 90 days. Activity pulse

Release rhythm (180d)0

Regularity of releases over the last 180 days. Releases

Maintainer bus risk (90d)83%

Modeled โ€” lower is better; concentration of commits in few maintainers. Contributors graph

Topics

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About Pezzo

Pezzo targets the operational side of LLM application development, where prompt versions, collaboration workflows, and debugging quickly become difficult to manage. By combining prompt design, version control, troubleshooting, and observability in one developer-first platform, it aims to reduce friction for teams shipping prompt-driven systems. It is especially relevant for organizations that need stronger process and visibility around prompt engineering in production.

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