Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for agent-research teams that want a verifiable, highly parallel Android GUI environment without maintaining a fleet of physical devices.
Who should use it
Who should skip it
Skip Purewhiter/mobilegym if the source link, documentation, or setup requirements do not align with your current workflow or stack.
About this signal
Purewhiter/mobilegym is tracked by RepoRadar as an AI project in the Evaluation section. It was first seen on 2026-06-22 and last updated on 2026-06-22. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. The standout signals for Purewhiter/mobilegym are workflow potential (9.7) and practical usefulness (9.0), while setup ease (6.4) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned Purewhiter/mobilegym a composite score of 8.6 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
The bundled training and benchmark data under mobilegym-data/ is CC BY-NC 4.0 non-commercial; commercial users should review LICENSE-DATA before redistributing the dataset, the code itself is Apache-2.0; The 256 parallel instances number is per server, so plan capacity and RAM before scaling beyond a single-node pilot.