nicolastakashi/prom-analytics-proxy - Open Source PR Review Scorecard

prom-analytics-proxy is a lightweight proxy that captures detailed analytics on PromQL queries, providing valuable insights into query usage and performance.

C-Rank Grade: A (Welcoming) - 62/100

External PR Merge Rate: 53%

Response Time: 24h

First Timer Success: 100%

Frequently Asked Questions

Is nicolastakashi/prom-analytics-proxy welcoming to first-time open-source contributors?

nicolastakashi/prom-analytics-proxy has a recorded first-timer success rate of 100.0%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in nicolastakashi/prom-analytics-proxy respond to incoming external pull requests in approximately 23.7 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 61.7 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 61.7 places nicolastakashi/prom-analytics-proxy in the A tier.

What is the external contributor pull request merge rate for nicolastakashi/prom-analytics-proxy?

The external contributor pull request merge rate for nicolastakashi/prom-analytics-proxy is 52.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in nicolastakashi/prom-analytics-proxy?

nicolastakashi/prom-analytics-proxy currently has 6 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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prom-analytics-proxy is a lightweight proxy that captures detailed analytics on PromQL queries, providing valuable insights into query usage and performance.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.8/10
Patience Score
8.8/10
Nitpick Rate
25%

Highly welcoming maintainers in nicolastakashi/prom-analytics-proxy. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Follow maintainer feedback from recent PR reviews

Top PR Friction Pitfalls (Don'ts)

  • •Do not ignore unresolved maintainer review comments
Response Velocity
23 hours
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
52.6%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
5 core
Small core review team
Diagnostic Health HUD
52.6%
Merge Gauge
100.0%
1st-Timer
Community Vibe63/100

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Active Good First Issues (5)

View on GitHub

lib/pq is in maintenance mode — no new features, security fixes only. The cancellation path (new connection per cancel) is less reliable than pgx/v5, which handles cancellation over the existing connection using the same wire-protocol flow. pgx/v5 may provide better performance and additional features, while remaining backwards compatible. pgx/v5 is the current community standard for PostgreSQL in Go and is actively developed. https://devandchill.com/posts/2020/05/go-lib/pq-or-pgx-which-performs-better/

📅 Opened Jun 4, 2026💬 1 comment
Quality: 70/100Contribute

Context (*PostGreSQLProvider).Insert for the queries write path (internal/db/provider.go) batches by wrapping a prepared statement in a transaction and calling stmt.ExecContext once per row: tx, err := p.db.BeginTx(ctx, nil) stmt, err := tx.PrepareContext(ctx, `INSERT INTO queries (...) VALUES ($1, $2, ...)`) for _, q := range queries { ... stmt.ExecContext(ctx, ...) } stmt.Close() tx.Commit() This is O(N) network round-trips for a batch of N queries. Under load this contends with the read path for connection slots, and when the database is saturated the ingester surfaces errors like: ERROR msg="unable to insert query" err="copyin flush: pq: canceling statement due to user request" (The "copyin flush" phrase in that error is misleading — it's from lib/pq's prepared-statement protocol, not a real COPY.) Proposal Use pq.CopyIn for postgres bulk inserts. The shape is: tx, err := p.db.BeginTx(ctx, nil) stmt, err := tx.PrepareContext(ctx, pq.CopyIn("queries", "ts", "querypa

📅 Opened Jun 3, 2026💬 2 comments
Quality: 90/100Contribute

Context The default sort field for /api/v1/seriesMetadata is queryCount (descending), set in routes.seriesMetadata: params := db.SeriesMetadataParams{ ... SortBy: "queryCount", SortOrder: "desc", ... } This is a great default for the UI's "what's getting queried most" view. But for the specific filter ?usage=unused, by definition every row in the result set has query_count = 0. The ORDER BY COALESCE(s.query_count, 0) DESC still runs — the sort node materialises and sorts the entire pre-LIMIT result set even though it's not breaking any ties (the rows come back in physical order anyway, after a fully wasted sort step). For a high-throughput client that always sends usage=unused (e.g. a tooling layer that drops metrics deemed unused by the inventory), this is steady-state overhead with no observable benefit. Proposal When usage = "unused" and no explicit sortBy was supplied by the caller, default to name (which has a primary-key index — sort is a no-op against the

📅 Opened Jun 3, 2026💬 3 comments
Quality: 70/100Contribute

Currently "Alerts", "Records", "Dashboards" are populated only if prom-analytics-proxy is deployed together with Perses Metrics Usage. As this is not a strict dependency, we should introduce a toggle (maybe flag / config.yaml unless it's possible to autodetect it somehow) to show/hide "Alerts", "Records", "Dashboards" in "Metrics catalog" and "Metric details" pages. Below some screenshots. Metrics catalog Metric details

📅 Opened Apr 23, 2026💬 0 comments
Quality: 30/100Contribute

The root README is definitely too long, we should split it into multiple md files in docs/ directory. At the same time: we should improve the section Metrics Usage Integration specifying that Metrics Usage is not required (strict dependency) it's an enhancement providing X, Y, Z additional info how it combines with prom-analytics-proxy it would be good to improve also docs/ structure and hierarchy.

📅 Opened Apr 23, 2026💬 0 comments
Quality: 40/100Contribute
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Contributor Compatibility & Review Speed Analysis for nicolastakashi/prom-analytics-proxy

When evaluating whether to contribute to nicolastakashi/prom-analytics-proxy, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of nicolastakashi/prom-analytics-proxy acknowledge new external contributions in approximately 23 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 52.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to nicolastakashi/prom-analytics-proxy

01

Is nicolastakashi/prom-analytics-proxy welcoming to first-time open-source contributors?

nicolastakashi/prom-analytics-proxy has a recorded first-timer success rate of 100.0%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~23 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 61.7 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 61.7 places nicolastakashi/prom-analytics-proxy in the Welcoming tier.

04

What is the external contributor pull request merge rate for nicolastakashi/prom-analytics-proxy?

The external pull request merge rate is 52.6%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in nicolastakashi/prom-analytics-proxy?

Yes, nicolastakashi/prom-analytics-proxy currently has 6 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for nicolastakashi/prom-analytics-proxy are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.