devActivity vs hyperopt.dev

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

devActivity compared with hyperopt.dev
Detail	devActivity	hyperopt.dev
What it does	Track, analyze, and improve your developer experience with AI-powered engineering performance insights	AutoML that just works. Keep training local.
Stage	Not given	MVP
Founded	Not given	Not given
Based in	UA	Not given
Pricing model	Freemium	Free trial
Pricing	Free plan: $0/contributor, up to 7 active contributors, 90-days data retention. Premium plan: $10-$20/contributor, unlimited active contributors, external managers. Special offers available for open source projects, startups, incubators, accelerators, and VCs. Enterprise option available with Premiu	Free beta with no billing. Paid plans launching in the future; pricing not yet announced. Join the waitlist for paid plans without payment or purchase commitment.
Key features	Contributions and work quality analytics from Git metadata Automated performance reviews with AI insights Gamification with XP, levels, achievements, and leaderboards Peer recognition awards Operational bottleneck alerts No source code access, only Git metadata Activity tracking based on commits, pull requests, code reviews, issues, and comments Support for private and public repositories 90-day data retention on free plan External managers access on premium plan	Python SDK for tuning suggestions Local model training with remote suggestions Supports classification and regression Included CPU demo workloads Efficient observation budget allocation Model ranking and selection Reference scheduler implementations HTTPS secure communication
What makes it different	No manual input required, fully automated data collection from GitHub AI-powered insights and recommendations available with just two clicks Starts in minutes with simple GitHub app installation Prioritizes data security by accessing only Git metadata, not source code Supports all repository sizes and team organizations	Trains locally, not on the service—your models and data stay on your computer Efficient tuning using only half the observation budget of full training Outperforms reference schedulers in benchmarks on diverse datasets Free beta with no billing or account costs
Community votes	0	0
DR (Domain Rating by Ahrefs)	41 −1 (down) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	29	3
Citation Flow (Majestic)	34	13
Referring domains (Majestic)	334	2

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