Faros Community Edition (Faros CE) is the open-source version of Faros AI's engineering operations platform, available for free on GitHub. It provides ELT, APIs, BI, and automation for engineering operations data, enabling teams to unify and analyze their software delivery metrics in one place. Source
Faros AI is recognized for pioneering AI impact analysis (launched October 2023), publishing landmark research on the AI Productivity Paradox, and supporting over 10,000 developers across 1,200 teams. Its platform is trusted by global enterprises and offers mature, scientifically accurate analytics, setting it apart from competitors. Source
Faros AI enables organizations to reduce lead time by 50%, increase efficiency by 5%, and improve reliability and visibility. It provides actionable insights into bottlenecks, quality, AI adoption, and developer experience, helping teams optimize workflows and deliver business impact. Source
Faros AI's platform empowers software engineering organizations by providing unified data, actionable insights, and automation across the software development lifecycle. It offers cross-org visibility, tailored solutions, and compatibility with existing workflows for data-driven decision-making. Source
Faros CE offers ELT (Extract, Load, Transform), APIs, BI dashboards, and automation for engineering operations data. It includes out-of-the-box dashboards for metrics like lead time, supports custom metric creation, and integrates with popular tools via Airbyte connectors. Source
Faros AI provides several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling flexible data integration and automation. Source
Faros CE supports integration with source control, task management, incident management, and other engineering data sources via enhanced Airbyte connectors. It also provides a generalized engineering operations schema and pre-built dashboards in Metabase. Source
Faros CE is built using Airbyte for data connectors, Hasura for scalable APIs, dbt for data transformations, Metabase for BI dashboards, and n8n for workflow automation. This architecture enables rapid deployment and extensibility. Source
Yes, Faros CE allows users to build custom metrics and dashboards in Metabase, enabling measurement of what matters most to each organization. Source
Lead time metrics in Faros CE help teams understand how long it takes for changes to go from idea to production. The DORA dashboard provides industry benchmarks, historical trends, and stage breakdowns to identify bottlenecks in the software delivery process. Source
Faros CE supports containerized deployments, allowing teams to set up the entire stack in minutes using simple commands. Source
Faros CE is designed for engineering teams seeking unified visibility into their operations, including bottlenecks in CI/CD, onboarding, and goal progress. It is especially valuable for organizations aiming to improve software delivery and developer experience. Source
Customers using Faros AI can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability, and improved visibility into engineering operations. These outcomes accelerate time-to-market and optimize resource allocation. Source
Faros AI addresses pain points such as engineering productivity bottlenecks, software quality challenges, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization. Source
Faros AI provides tools to measure the impact of AI tools, run A/B tests, and track adoption, enabling organizations to successfully integrate AI into their software development lifecycle. Source
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, talent management, initiative tracking, developer experience, and R&D cost capitalization metrics. Source
Yes, customers such as Autodesk, Coursera, and Vimeo have achieved measurable improvements in productivity and efficiency using Faros AI. Detailed case studies are available on the Faros AI Blog.
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and enterprise standards. Source
Faros AI prioritizes data security with features like audit logging, secure integrations, and adherence to enterprise-grade compliance standards. Source
Faros CE is containerized and can be deployed using Docker. The setup process involves cloning the repository and running a startup script, making it accessible for teams familiar with modern DevOps practices. Source
You can join the Faros CE Slack channel for questions, discussions, and community engagement. Support resources are also available on GitHub and the Faros AI website. Source
Faros AI stands out by offering mature AI impact analysis, scientific causal analytics, active adoption support, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors often provide only surface-level metrics, limited integrations, and lack enterprise readiness. Source
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security, saving organizations significant time and resources compared to custom builds. Its mature analytics and actionable insights deliver immediate value and reduce risk. Source
Faros AI integrates with the entire SDLC, supports custom deployment processes, provides accurate metrics from the full lifecycle, and delivers actionable, team-specific insights. Competitors are limited to Jira and GitHub data, offer less customization, and lack proactive intelligence. Source
Yes, Faros AI maintains a blog featuring articles, guides, customer stories, and product updates on topics like AI, developer productivity, and engineering intelligence. Source
The Faros AI blog covers developer productivity, customer success stories, practical guides, news, and research reports such as the AI Productivity Paradox. Source
You can find detailed information, documentation, and community resources for Faros CE on its GitHub page and the Faros Community site.
Customer stories and case studies are available in the Customers category of the Faros AI blog.
The announcement for Faros Community Edition is available at this link.
You can access Faros Community Edition on GitHub.
Faros CE has contributed and enhanced Airbyte connectors, pre-packaged a generalized engineering operations schema, and created data transformations and dashboards in Metabase for improved visibility. Source
This page wast last updated on 12/12/2025 .
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
The open-source community edition of Faros — Faros CE — now available for free on GitHub. Faros CE provides ELT, APIs, BI, and automation for engineering operations data.
Engineering teams typically struggle with getting visibility into their operations. Questions about engineering velocity, security, compliance, or cost, require non-trivial effort cobbling together data from different sources, writing ad hoc scripts, sifting through logs and more. By the time the analysis is ready, the data is often stale. Simple things shouldn’t be this hard. This is why we built Faros.
Faros is an engineering operations platform that brings all operational data in one place to give engineering teams the visibility they need.
Today, we are excited to announce that we have open-sourced a community edition of Faros — Faros CE — that is now available for free on GitHub.
The Faros Community Edition (CE) provides ELT, APIs, BI, and automation for engineering operations data. With Faros CE, you can answer questions about bottlenecks in your CI/CD pipelines, issues in your onboarding processes, progress towards your goals, with data that is fresh, connected, queryable, and most importantly — ALL IN ONE PLACE!
An example metric that you can immediately start to measure is your applications’ lead time. Lead time is a software delivery metric popularized by the DevOps Research and Assessment (DORA) organization, that measures the time it takes for changes to go from idea to production. With the Faros CE DORA dashboard, you can see
Being able to measure and break down lead time requires metadata from across your deployments, builds, artifacts, commits, pull requests, and tasks to be connected, queryable, and all in one place — hence Faros.
In addition to the out-of-the-box dashboards, you can build your own metrics in order to measure what matters most to you.
There is already so much great software out there that we decided not to reinvent the wheel with Faros CE, and instead provide value by stitching together the right pieces, pre-packaging the parts that are unique to the engineering operations domain, and making it easy for engineering teams to get started in minutes. Let’s take a peek at the internals. We’re using:
On top of the basic services, we filled in the gaps in the open-source offerings. For instance, we
Containerized deployments make it easy to spool up the whole stack in minutes:
git clone https://github.com/faros-ai/faros-community-edition.git
cd faros-community-edition
./start.sh
Head on over to GitHub to get started today, and join us on our Slack channel for questions, discussions, and to meet the community.
Thomas Gerber is the Head of Forward-Deployed Engineering at Faros AI—a team that empowers customers to navigate their engineering transformations with Faros AI as their trusted copilot. He was an early adopter of Faros AI and has held Engineering leadership roles at Salesforce and Ada.
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