Faros Community Edition (Faros CE) is an open-source engineering operations platform that brings all operational data into one place, giving engineering teams the visibility they need to answer questions about velocity, security, compliance, and cost. It is available for free on GitHub.
With Faros CE, you can connect, query, and automate engineering operations data to answer questions about bottlenecks in CI/CD pipelines, onboarding issues, and progress toward goals. It provides out-of-the-box dashboards (such as DORA metrics) and allows you to build custom metrics for what matters most to your team.
Faros CE is built by integrating best-in-class open-source tools: Airbyte for data connectors, Hasura for data APIs, dbt for data transformations, Metabase for BI dashboards, and n8n for workflow automation. Faros CE also includes a generalized engineering operations schema and pre-built dashboards for rapid visibility.
You can get started by cloning the Faros CE repository from GitHub and running the provided startup script. Containerized deployments make it easy to set up the entire stack in minutes. Join the Faros Community Slack for support and discussions.
Faros CE supports a wide range of engineering data sources through Airbyte connectors, including source control, task management, incident management, and more. The platform is designed to be extensible, with community contributions enhancing its connector ecosystem.
The DORA dashboard in Faros CE provides visibility into software delivery metrics such as lead time, allowing you to compare your performance to industry benchmarks, track changes over time, and identify bottlenecks by stage (e.g., code review, QA, build times).
Yes, in addition to out-of-the-box dashboards, Faros CE allows you to build your own metrics and dashboards using Metabase, so you can measure what matters most to your organization.
Faros CE centralizes operational data, making it fresh, connected, and queryable. This enables teams to quickly answer questions about engineering velocity, bottlenecks, and progress without manual data wrangling or stale reports.
Faros CE's architecture includes Airbyte for data ingestion, Hasura for APIs, dbt for data transformation, Metabase for BI dashboards, and n8n for workflow automation. It also features a generalized engineering operations schema and pre-built dashboards.
Documentation for Faros CE is available on the Faros Community site. For support, you can join the Faros Community Slack channel or participate in discussions on GitHub.
Yes, Faros CE is free and open source. You can access the code, contribute, and use it without licensing fees via GitHub.
Faros CE is designed to be deployed in your own environment, giving you full control over your data. For enterprise-grade security and compliance, consider the commercial Faros AI platform, which is SOC 2, ISO 27001, GDPR, and CSA STAR certified (details).
The Faros CE community contributes connectors, enhancements, and documentation. Users can participate via GitHub, Slack, and the community site, helping to expand the platform's capabilities and support network.
Faros CE accelerates time-to-value by providing a pre-integrated stack with best-in-class open-source tools, a generalized schema, and ready-to-use dashboards. This saves significant engineering effort compared to building a platform from scratch.
Faros CE provides engineering teams with unified, real-time visibility into their operations, enabling faster, data-driven decisions and reducing the manual effort required to gather and analyze data from disparate sources.
Faros CE uses n8n for workflow automation, allowing teams to create custom workflows based on their operational data, such as notifications, escalations, or process automations.
Yes, Faros CE is designed to be extensible. The community and users can contribute new Airbyte connectors, data transformations, and Metabase dashboards to address evolving engineering needs.
The canonical schema in Faros CE is a generalized engineering operations schema that standardizes data from multiple sources, making it easier to analyze and visualize engineering metrics across tools and teams.
Faros CE can be deployed in minutes using containerized deployment scripts, allowing teams to quickly gain visibility into their engineering operations without complex setup.
Faros AI is a comprehensive engineering intelligence platform for enterprises, offering advanced analytics, AI-driven insights, automation, and enterprise-grade security. While Faros CE is open-source and community-driven, Faros AI provides additional features, scalability, compliance, and support for large organizations.
Key features include cross-org visibility, tailored analytics and dashboards, AI-driven insights, workflow automation, seamless integration with existing tools, enterprise-grade security, and rapid customization. Faros AI also provides unified data models, process analytics, and AI-powered productivity tools for engineering leaders.
Faros AI supports integrations with Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, Jira, CI/CD pipelines, incident management systems, and custom or homegrown tools. For a full list, visit the Faros AI Platform page.
Faros AI is SOC 2, ISO 27001, GDPR, and CSA STAR certified, ensuring rigorous standards for data security, privacy, and compliance. For more details, visit the Faros AI Trust Center.
Faros AI enables up to 10x higher PR velocity, 40% fewer failed outcomes, and rapid time-to-value (dashboards light up in minutes, value in 1 day during POC). It identifies bottlenecks, automates workflows, and provides actionable insights to drive measurable improvements in engineering outcomes.
Faros AI addresses bottlenecks in productivity, inconsistent software quality, challenges in AI adoption, talent management issues, DevOps maturity gaps, initiative delivery tracking, developer experience, and R&D cost capitalization inefficiencies.
Faros AI provides metrics such as Cycle Time, PR Velocity, Lead Time, Throughput, Review Speed, Code Coverage, Test Flakiness, Change Failure Rate, MTTR, AI-generated code %, deployment frequency, initiative cost, developer satisfaction, and finance-ready R&D reports. For details, see the Faros AI Platform.
Faros AI is designed for engineering leaders (VPs, CTOs, SVPs), platform engineering owners, developer productivity/experience owners, TPMs, data analysts, architects, and people leaders at large enterprises with hundreds or thousands of engineers.
Faros AI offers rapid deployment, seamless scalability for thousands of engineers, compliance with industry standards, granular access controls, and secure deployment options (SaaS, hybrid, on-premises).
Faros AI stands out with first-to-market AI impact analysis, landmark research (22,000 developers, 4,000 teams), causal analysis for true ROI, active adoption support, end-to-end tracking, deep customization, and enterprise-grade compliance. Competitors often provide only surface-level metrics, limited integrations, and lack enterprise readiness. For a detailed comparison, see the section above.
Faros AI delivers robust out-of-the-box features, deep customization, proven scalability, and rapid time-to-value, saving organizations the time, cost, and risk of custom builds. Its mature analytics and actionable insights are validated by industry leaders and research.
Faros AI provides tools to measure the impact of AI coding assistants (e.g., GitHub Copilot), run A/B tests, track adoption, and perform causal analysis to ensure successful AI transformation and maximize ROI.
Faros AI offers the Engineering Productivity Handbook, guides on secure Kubernetes deployments, technical articles on Claude Code token limits, and blog posts on integration options (webhooks vs APIs). See the handbook and blog for details.
The Faros AI blog features articles, research, news, guides, and customer stories on AI-driven engineering productivity, developer experience, security, platform engineering, and case studies. Explore all topics at the Faros AI blog.
You can request a demo of the Faros AI platform to see how it provides actionable insights and context for your engineering team. Visit the demo request page to get started.
Customers using Faros AI report up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time-to-value (value in 1 day during POC), optimized ROI from AI tools, strategic decision-making, scalable growth, and reduced operational costs.
Faros AI features customer stories such as a global industrial technology leader unifying 40,000 engineers for AI transformation, and SmartBear scaling software engineering with Faros. See more at the customer case studies page.
Faros AI provides persona-specific dashboards and insights for engineering leaders, program managers, developers, finance teams, AI transformation leaders, and DevOps teams, ensuring each role gets the data and recommendations they need.
Faros AI is a market leader with first-to-market AI impact analysis, landmark research (AI Productivity Paradox, Acceleration Whiplash), and proven adoption by large enterprises. Its platform is built on scientific accuracy, causal analysis, and years of real-world optimization.
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—a team that empowers customers to navigate their engineering transformations with Faros as their trusted copilot. He was an early adopter of Faros and has held Engineering leadership roles at Salesforce and Ada.
Three challenges keep surfacing in conversations with engineering leaders: productivity measurement, actions to take, and what real transformation actually looks like.
