flyteorg/flyte - Open Source PR Review Scorecard

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

C-Rank Grade: A (Welcoming) - 69/100

External PR Merge Rate: 75%

Response Time: 2d

First Timer Success: 71%

Frequently Asked Questions

Is flyteorg/flyte welcoming to first-time open-source contributors?

flyteorg/flyte has a recorded first-timer success rate of 71.1%. 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 flyteorg/flyte respond to incoming external pull requests in approximately 45.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 69.5 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 69.5 places flyteorg/flyte in the A tier.

What is the external contributor pull request merge rate for flyteorg/flyte?

The external contributor pull request merge rate for flyteorg/flyte is 74.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in flyteorg/flyte?

flyteorg/flyte currently has 12 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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flyteorg/flyte

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Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

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AI Maintainer Review Guidelines

Review Persona

High-Friction Gatekeeper

Warmth Score
5.6/10
Patience Score
6.5/10
Nitpick Rate
57%

Rigorous architecture standards (87% critical review signals). Ensure PRs strictly follow guidelines before requesting review in flyteorg/flyte.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Run repository linter and code formatters locally before pushing
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
74.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
71.1%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
42 core
Highly collaborative maintainer core
Diagnostic Health HUD
74.8%
Merge Gauge
71.1%
1st-Timer
Community Vibe51/100

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Active Good First Issues (5)

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Why InternalRunService.UpdateActionStatus reports failures in the response body, not as a transport error. The handler always returns a nil error and puts the failure in Status: // runs/service/internal_run_service.go:204 func (s *RunService) UpdateActionStatus(...) (*connect.Response[workflow.UpdateActionStatusResponse], error) { resp := s.updateActionStatus(ctx, req.Msg) // errors become resp.Status via statusFromError return connect.NewResponse(resp), nil // <- always nil } Its only caller ignores that field and keys off the transport error alone: // actions/k8s/client.go:840 if _, err := c.runClient.UpdateActionStatus(ctx, connect.NewRequest(statusReq)); err != nil { logger.Warnf(ctx, "Failed to update action status in run service for %s: %v", update.ActionID.Name, err) } else if isTerminalPhase(update.Phase) && !update.IsDeleted { c.markTerminalStatusRecorded(ctx, taskAction) // runs even when the run service rejected the update } So when the run service fails to re

📅 Opened Aug 20, 2026💬 4 comments
Quality: 90/100Contribute

Issue When injecting a secret into task pod like this: env = flyte.TaskEnvironment( name="hello_world", resources=flyte.Resources(cpu=1, memory="1Gi"), image=image, secrets=[ flyte.Secret(key="my_secret", as_env_var="MY_SECRET_KEY"), ] ) When getting pod spec with kubectl describe command, we will directly see the secret value in ENVVAR, which is not secure: Suggestion We use webhook to inject secret into task pod. We should insert EnvVarSource instead of EnvVar value directly

📅 Opened Aug 11, 2026💬 2 comments
Quality: 50/100Contribute

Why A PostgreSQL NOTIFY in the runs-service is a wakeup hint — the payload carries only an action identifier, and every listener re-reads state from the database when it wakes. Losing one is recoverable. But today, sending one can block a write RPC indefinitely. notifyActionUpdate does a blocking channel send: select { case r.actionNotifyCh <- payload: case <-ctx.Done(): logger.Errorf(ctx, "Action NOTIFY send cancelled for %s: %v", payload, ctx.Err()) } The channel is buffered at 256 and drained by a single goroutine that round-trips to Postgres once per payload — a ceiling of roughly 240 notifications/second (measured: 4.1 ms per pg_notify round trip from the same VPC, versus 32 µs for the pg_notify call itself). When demand exceeds that, the buffer fills and the send blocks — inside the RPC handler, because UpdateActionPhase calls it right after the row is written. What is not at risk: the database write Worth stating up front, because it is the first question everyone ask

📅 Opened Aug 3, 2026💬 2 comments
Quality: 65/100Contribute

Why The runs-service sends one PostgreSQL NOTIFY per action update, and each one costs a full network round trip on a single dedicated connection. That serial round trip — not Postgres, not CPU — is what limits action-update throughput today. Measured on a dev cluster during a 100,000-action benchmark: RPC rate p50 p95 mean InternalRunService.UpdateActionStatus 101.8/s 394 ms 3085 ms 780 ms EventsProxyService.Record 25.6/s 653 ms 2418 ms 801 ms InternalRunService.RecordActionEvents 25.6/s 652 ms 2418 ms 800 ms ActionsService.Enqueue 57.5/s — 1351 ms 375 ms InternalRunService.RecordAction 52.9/s 326 ms 588 ms 288 ms The mean is 780 ms, so this is the whole distribution being slow, not a tail. And it is not the usual suspects: Not Postgres — RDS WriteLatency 0.9 ms, CPU 58–72%, and only 14 database connections open against a pool max of 100. Every connection sat in ClientRead, i.e. the database was waiting on the application. Not CPU — the pod used 1.34 of

📅 Opened Aug 3, 2026💬 2 comments
Quality: 80/100Contribute

Summary There's a typo in one of our protobuf fields: funtion_name should be function_name (missing the c). It lives on the ActionMetadata message and flows through the generated code in every language, the Go backend, and the published flyteidl2 package that the Python SDK depends on. This spans two repos: most of the work is in flyteorg/flyte (Parts 1–3), plus a small follow-up in flyteorg/flyte-sdk (Part 4). It's totally fine to do Part 4 as a second PR — see the note there. Background The field is defined here: flyteidl2/workflow/run_definition.proto (around line 188) message ActionMetadata { ... // Function name string funtion_name = 13; // 👈 typo: "funtion" → "function" ... } The = 13 is the field's wire number — we keep it as 13 so this change is fully backward-compatible on the wire. We're only fixing the human-readable name. What needs to change 1. Fix the proto (the only file you edit by hand for the IDL) — repo: flyteorg/flyte In flyteidl2/workflow/r

📅 Opened Jun 18, 2026💬 2 comments
Quality: 80/100Contribute
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Contributor Compatibility & Review Speed Analysis for flyteorg/flyte

When evaluating whether to contribute to flyteorg/flyte, 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 flyteorg/flyte acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 74.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to flyteorg/flyte

01

Is flyteorg/flyte welcoming to first-time open-source contributors?

flyteorg/flyte has a recorded first-timer success rate of 71.1%. 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 ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 69.5 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 69.5 places flyteorg/flyte in the Welcoming tier.

04

What is the external contributor pull request merge rate for flyteorg/flyte?

The external pull request merge rate is 74.8%. 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 flyteorg/flyte?

Yes, flyteorg/flyte currently has 12 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 flyteorg/flyte 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.