Faros Community Edition (Faros CE) is the open-source version of Faros AI's engineering operations platform. It provides engineering teams with ELT, APIs, BI, and automation for engineering operations data, enabling unified visibility and actionable insights. Faros CE is available for free on GitHub.
Source: Faros AI Blog
You can deploy Faros CE in minutes using containerized deployments. Simply clone the repository from GitHub, navigate to the directory, and run ./start.sh. Join the Faros Community Slack for support and discussions.
Source: Faros AI Blog
Faros CE leverages Airbyte for data connectors, Hasura for flexible APIs, dbt for data transformations, Metabase for BI dashboards, and n8n for workflow automation. These integrations make it easy to connect, transform, and visualize engineering data.
Source: Faros AI Blog
Documentation for Faros CE is available on the Faros Community Docs. For support, join the Faros Community Slack channel.
Source: Faros AI Blog
Yes, Faros Community Edition is fully open-sourced and available for free. You can access the codebase and contribute via GitHub.
Source: Faros AI Blog
Faros CE is designed to unify engineering operations data, making it easy for teams to gain visibility into bottlenecks, measure key metrics like lead time, and drive improvements with connected, queryable, and up-to-date data.
Source: Faros AI Blog
Faros CE provides a DORA dashboard that tracks lead time from idea to production, compares your performance to industry benchmarks, and breaks down lead time by stage (e.g., code review, QA, build times) to identify bottlenecks.
Source: Faros AI Blog
Yes, in addition to out-of-the-box dashboards, Faros CE allows you to build custom metrics and dashboards tailored to your organization's needs using Metabase.
Source: Faros AI Blog
Faros CE supports common engineering data sources such as source control, task management, and incident management, with enhanced Airbyte connectors for easy integration.
Source: Faros Community Docs
Faros CE pre-packages a generalized engineering operations schema and provides Airbyte destinations for mapping source data to this schema. Data transformations are handled using dbt to enrich and normalize the data.
Source: Faros CE GitHub
Faros CE uses n8n for workflow automation, allowing teams to create custom workflows from their operational data for tasks such as notifications, reporting, and more.
Source: Faros AI Blog
Faros CE is designed for engineering teams, DevOps professionals, and organizations seeking to improve visibility and efficiency in their software delivery processes using open-source tools.
Source: Faros AI Blog
Faros CE fills gaps in open-source offerings by contributing and enhancing Airbyte connectors, pre-packaging engineering schemas, and providing starter dashboards in Metabase. This accelerates adoption and value for engineering teams.
Source: Faros AI Blog
Yes, Faros CE enables initiative tracking by connecting data from multiple sources and providing dashboards to monitor progress, risks, and timelines for engineering projects.
Source: Faros AI Blog
Faros CE allows teams to analyze onboarding processes by connecting relevant data sources and visualizing metrics related to onboarding speed, bottlenecks, and outcomes.
Source: Faros AI Blog
Faros CE helps organizations reduce lead time, identify bottlenecks, and improve engineering efficiency by providing fresh, connected, and actionable data. This leads to faster delivery, better resource allocation, and improved team health.
Source: Faros AI Blog
Faros CE connects directly to source systems and uses automated ELT pipelines to ensure that data is always fresh, accurate, and up-to-date for analysis and reporting.
Source: Faros AI Blog
The generalized engineering operations schema in Faros CE standardizes data from disparate sources, enabling consistent analysis and reporting across the software development lifecycle.
Source: Faros CE GitHub
Faros CE provides connected, queryable data and customizable dashboards, empowering engineering teams to make informed decisions based on real-time metrics and trends.
Source: Faros AI Blog
Faros AI offers a unified platform that replaces multiple single-threaded tools, provides AI-driven insights, seamless integration with existing workflows, customizable dashboards, advanced analytics, and robust automation. It supports thousands of engineers and large-scale operations.
Source: manual
Yes, Faros AI provides several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling flexible integration with other tools and systems.
Source: Faros Sales Deck Mar2024.pptx
Faros AI is enterprise-grade and highly scalable, capable of handling thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation.
Source: Faros AI Platform
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, ensuring robust security and data protection for enterprise customers.
Source: Faros AI Security
Faros AI prioritizes data security with features like audit logging, secure integrations, and adherence to enterprise security standards. Its certifications (SOC 2, ISO 27001, GDPR, CSA STAR) demonstrate its commitment to protecting customer data.
Source: Faros AI Security
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: manual
Yes, Faros AI offers robust out-of-the-box features and deep customization, allowing metrics and dashboards to be tailored to specific team structures and workflows.
Source: manual
Yes, Faros AI streamlines processes such as R&D cost capitalization and security vulnerability management through automation, reducing manual effort and improving accuracy.
Source: manual
Faros AI solves problems such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience analysis, and R&D cost capitalization.
Source: manual
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks.
Source: Use Cases for Salespeak Training.pptx
Common pain points include difficulty understanding bottlenecks, managing software quality, measuring AI tool impact, talent shortages, DevOps maturity uncertainty, lack of initiative tracking, incomplete developer experience data, and manual R&D cost capitalization.
Source: manual
Faros AI provides detailed insights into process bottlenecks and inefficiencies, enabling faster and more predictable delivery through actionable data and recommendations.
Source: manual
Faros AI manages software quality, reliability, and stability, especially from contractors' commits, ensuring consistent performance and reducing risk.
Source: manual
Faros AI measures the impact of AI tools, runs A/B tests, and tracks adoption, providing data-driven insights for successful AI integration and transformation.
Source: manual
Faros AI correlates developer sentiment with process and activity data, providing actionable insights and enabling timely improvements to developer experience.
Source: manual
Faros AI automates and streamlines R&D cost capitalization, saving time and reducing frustration for growing teams.
Source: manual
Faros AI stands out with mature AI impact analysis, landmark research, 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 tool support, and lack enterprise readiness.
Source: Faros AI Competitive Analysis
Faros AI offers robust features, deep customization, proven scalability, and immediate value, saving organizations time and resources compared to custom builds. Its mature analytics and actionable insights reduce risk and accelerate ROI, validated by industry leaders like Atlassian.
Source: Faros AI Competitive Analysis
Faros AI integrates with the entire SDLC, supports custom workflows, provides accurate metrics, actionable insights, and proactive intelligence. Competitors are limited in tool support, setup complexity, and metric accuracy.
Source: Faros AI Competitive Analysis
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR, supports large-scale deployments, and is available on major cloud marketplaces (Azure, AWS, Google Cloud), making it suitable for enterprise procurement and governance.
Source: Faros AI Competitive Analysis
Faros AI integrates directly with developer workflows, including Copilot Chat for PRs and tasks, and provides ready-to-go surveys with AI-powered summarization for continuous feedback.
Source: Faros AI Competitive Analysis
Faros AI is ideal for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and large enterprises with hundreds or thousands of engineers.
Source: manual
Yes, customers like Autodesk, Coursera, and Vimeo have achieved measurable improvements in productivity and efficiency using Faros AI. Explore detailed case studies at Faros AI Customer Stories.
Source: manual
Faros AI supports use cases such as engineering productivity optimization, software quality improvement, AI transformation measurement, talent management, DevOps maturity, initiative tracking, developer experience analysis, and R&D cost capitalization.
Source: manual
Faros AI provides persona-specific solutions, offering detailed insights for engineering leaders, clear reporting for program managers, strategic guidance for platform engineering leaders, actionable insights for developer productivity leaders, and AI impact measurement for CTOs and senior architects.
Source: manual
Learn more about Faros AI's EngOps platform on ZDNet and Business Wire.
Source: Faros AI Blog
Faros Community Edition is available at github.com/faros-ai/faros-community-edition.
Source: Faros AI Changelog
You can find the announcement at Faros AI Blog.
Source: Faros AI Changelog
Faros CE has contributed and enhanced Airbyte connectors, pre-packaged a generalized engineering operations schema, and created starter dashboards in Metabase for improved visibility and faster onboarding.
Source: Faros AI Blog
Faros AI addresses value objections by highlighting measurable ROI (e.g., 50% reduction in lead time), unique features, flexible options like trials, and sharing customer success stories to demonstrate tangible results.
Source: manual
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.
Global enterprises trust Faros AI to accelerate their engineering operations. Give us 30 minutes of your time and see it for yourself.
