Datasets
1Sherlock Data helps quantitative and fundamental portfolio managers bring open-source software development trends into their investment strategy
Updated DailyScale ~340 CDI-scored projectsFrom 2008 to present (CDI and engagement)
About
Sherlock Data helps quantitative and fundamental portfolio managers bring open-source software development trends into their investment strategy. It tracks more than 100,000 organizations and 200+ tickers across 40+ metrics, with 15+ years of point-in-time history.
At its core is the Sherlock Community Development Index (CDI), a proprietary 0 to 1 score of development-team strength built from contribution, code-review and maintenance signals. Around it sit linked tables for code changes, developer cohorts by tenure, technology dependencies, daily community engagement (stars, forks and watchers) and AI model demand (downloads, likes and trending scores by provider and model).
Coverage spans curated public-equity, private-AI and crypto projects plus a broad open-source universe of 133K+ projects and 3.6M+ repositories. Data is daily, with CDI and engagement history back to 2008, and sample data is available on Snowflake Marketplace.
Sherlock Data is offered by the Fidelity Center for Applied Technology (FCAT).
Questions
What buyers ask about Sherlock Data, answered from this page.
What does Sherlock Data do?
Sherlock Data helps quantitative and fundamental portfolio managers bring open-source software development trends into their investment strategy. It tracks more than 100,000 organizations and 200+ tickers across 40+ metrics, with 15+ years of point-in-time history. At its core is the Sherlock Community Development Index (CDI), a proprietary 0 to 1 score of development-team strength built from contribution, code-review and maintenance signals. Around it sit linked tables for code changes, developer cohorts by tenure, technology dependencies, daily community engagement (stars, forks and watchers) and AI model demand (downloads, likes and trending scores by provider and model). Coverage spans curated public-equity, private-AI and crypto projects plus a broad open-source universe of 133K+ projects and 3.6M+ repositories. Data is daily, with CDI and engagement history back to 2008, and sample data is available on Snowflake Marketplace. Sherlock Data is offered by the Fidelity Center for Applied Technology (FCAT).
What data does Sherlock Data offer?
Sherlock Data offers Open-source developer activity (Alternative) — ~340 CDI-scored projects; 133K+ projects and 3.6M+ repositories in the engagement universe; 374K+ tracked developers.
What is Sherlock Data's data used for?
Read product momentum before the market. Commit frequency, pull-request throughput and contributor growth are a high-frequency proxy for whether a company is shipping and strengthening or stalling. Map the AI landscape. Downloads, likes and trending scores across thousands of model providers and models, plus AI-tool dependency tracking, show which models and tools developers are actually adopting. Source and diligence names where financials are scarce. CDI scores and development signals across private AI and crypto projects give an operating picture for sourcing, comps and monitoring. Benchmark engineering health. Compare CDI and its underlying development signals against peers to see which teams are strengthening or falling behind.
How is Sherlock Data's data delivered?
The data is updated daily, with 2008 to present (CDI and engagement); code change from 2009; dependencies from 2011; AI model demand from 2025 of history.
What does Sherlock Data cover?
Coverage spans Information Technology.