the-momentum/open-wearables - Open Source PR Review Scorecard

Self-hosted platform to unify wearable health data through one AI-ready API.

C-Rank Grade: A (Welcoming) - 55/100

External PR Merge Rate: 74%

Response Time: 12d

First Timer Success: 42%

Frequently Asked Questions

Is the-momentum/open-wearables welcoming to first-time open-source contributors?

the-momentum/open-wearables has a recorded first-timer success rate of 42.4%. 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 the-momentum/open-wearables respond to incoming external pull requests in approximately 279.3 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 55.5 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 55.5 places the-momentum/open-wearables in the A tier.

What is the external contributor pull request merge rate for the-momentum/open-wearables?

The external contributor pull request merge rate for the-momentum/open-wearables is 73.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in the-momentum/open-wearables?

the-momentum/open-wearables currently has 11 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Self-hosted platform to unify wearable health data through one AI-ready API.

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AI Maintainer Review Guidelines

Review Persona

High-Friction Gatekeeper

Warmth Score
6.0/10
Patience Score
6.7/10
Nitpick Rate
52%

Rigorous architecture standards (80% critical review signals). Ensure PRs strictly follow guidelines before requesting review in the-momentum/open-wearables.

Top PR Submission Do's

  • Add unit tests with >80% coverage for modified code paths
  • Use conventional commit messages and clean branch names
  • 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
11 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
73.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
42.4%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
26 core
Highly collaborative maintainer core
Diagnostic Health HUD
73.8%
Merge Gauge
42.4%
1st-Timer
Community Vibe42/100

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Active Good First Issues (5)

View on GitHub

Whoop sends daily aggregates, for example daily strain score (even if there are no workouts), and certain things like sleep sessions are associated with cycles. We will need to add the /v2/cycle endpoint support to app/services/providers/whoop/data_247.py module. It is very similar to other endpoint returning data, so most of that is just connecting the endpoint and copying some code (or preferably separating a part of the code and making it reusable).

📅 Opened May 6, 2026💬 0 comments
Quality: 80/100Contribute

Context When we calculate an OW sleep score (provider=internal), it's derived from a specific provider's sleep record (Garmin, Whoop, Oura, ...). On the dashboard a user can see multiple "OW" badges for the same night - but there's no way to tell which underlying source each one came from. Proposed fix Frontend: Display the source provider next to "OW" badges (e.g. OW · Garmin 92, OW · Whoop 94) so users can tell which sleep record drove each calculation. Backend: The data is in the DB - health_score.sleep_record_id → event_record.data_source_id → provider - but HealthScoreResponse (backend/app/schemas/model_crud/activities/health_score.py) only exposes provider and data_source_id. To avoid an extra lookup against /users/{user_id}/data-sources, add a source_provider: ProviderName | None field; for internal scores resolve it from the linked data source, for others it equals provider.

📅 Opened Apr 28, 2026💬 1 comment
Quality: 40/100Contribute

Provider Komoot — popular outdoor navigation and route planning app for hiking, cycling, and mountain biking with 35M+ users. Website: https://www.komoot.com API: Partner-only (B2B), not publicly accessible OAuth2 example: https://github.com/komoot/komoot-oauth2-connect-example Apply for access: https://www.komoot.de/b2b/connect#profileconnect API details Detail Value Auth OAuth2 (partner credentials required) Access B2B partnership application required Auth URL https://auth-api.main.komoot.net/ API URL https://external-api.komoot.de/v007/ Endpoints User tours (routes), tour details with GPS tracks Webhooks Unknown Data available Tours/Activities: hiking, cycling, mountain biking with full GPS tracks Route details: distance, duration, elevation, surface type Planned routes: user-created routes (not just recorded activities) Important limitation Komoot does not offer a public API. Integration requires B2B partnership approval. Existing partners include Garmin,

📅 Opened Apr 1, 2026💬 0 comments
Quality: 30/100Contribute

Parse and save granular sleep stages from Ultrahuman sleep_graph Ultrahuman API returns timestamped sleep stage transitions in sleep_graph.data, but data_247.py only extracts aggregated durations (deep/light/REM/awake minutes). The sleep_stages JSONB column in sleep_details exists and has a GIN index, but is empty for all 83 records in the database. API payload { "type": "sleep", "object": { "sleep_graph": { "data": [ {"startTime": 1711234567, "endTime": 1711234867, "type": "awake"}, {"startTime": 1711234867, "endTime": 1711236067, "type": "light_sleep"}, {"startTime": 1711236067, "endTime": 1711237267, "type": "deep_sleep"}, {"startTime": 1711237267, "endTime": 1711238467, "type": "rem_sleep"} ] } } } What needs to happen Parse sleep_graph.data in data_247.py and save to sleep_details.sleep_stages JSONB column Normalize the schema (e.g. convert unix timestamps to ISO 8601, map stage names to our standard enum) Add integration

📅 Opened Mar 24, 2026💬 2 comments
Quality: 30/100Contribute

Add resting heart rate (night_rhr) parsing for Ultrahuman Ultrahuman API returns night_rhr (Resting HR - Sleep Time Average) in the daily metrics response, but data_247.py doesn't process it. API payload { "type": "night_rhr", "object": { "day_start_timestamp": 1705276800, "title": "Resting HR", "values": [ {"value": 52, "timestamp": 1705290000}, {"value": 50, "timestamp": 1705293600}, {"value": 51, "timestamp": 1705297200} ], "subtitle": "Sleep Time Average", "avg": 51 } } What needs to happen Map night_rhr to SeriesType.resting_heart_rate (id=2, unit=bpm) Add "night_rhr" to the processed types in load_and_save_all (similar to how vo2_max was added) Decide whether to save the avg as a single daily value or each values[] entry as time series samples Add integration test Related Fixture already has night_rhr data in tests/providers/conftest.py:417

📅 Opened Mar 24, 2026💬 1 comment
Quality: 30/100Contribute
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Contributor Compatibility & Review Speed Analysis for the-momentum/open-wearables

When evaluating whether to contribute to the-momentum/open-wearables, 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 the-momentum/open-wearables acknowledge new external contributions in approximately 11 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 73.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to the-momentum/open-wearables

01

Is the-momentum/open-wearables welcoming to first-time open-source contributors?

the-momentum/open-wearables has a recorded first-timer success rate of 42.4%. 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 ~11 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 55.5 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 55.5 places the-momentum/open-wearables in the Welcoming tier.

04

What is the external contributor pull request merge rate for the-momentum/open-wearables?

The external pull request merge rate is 73.8%. 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 the-momentum/open-wearables?

Yes, the-momentum/open-wearables currently has 11 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 the-momentum/open-wearables 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.