
OpenGrok
GitHub
Etsy Hound
GitHub Copilot
Tabnine
Cody AI
Codeium
The context layer for your entire codebase

Waydev
Swarmia
GitPrime
CodeClimate
Haystack Analytics
Codacy
SonarQube
LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
Which is more popular?
Sourcegraph might be a bit more popular than LinearB. We know about 37 links to it since March 2021 and only 28 links to LinearB.
Website, pricing, platforms and company facts side by side.
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| Website | sourcegraph.com | linearb.io |
| Pricing | ||
| Company | 2013 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Empower agents and developers to make faster decisions, improve AI-generated code, and execute code changes at scale.
No description of LinearB yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
LinearB is recommended for software development teams, engineering managers, and project managers who want to improve visibility into their development processes, reduce cycle times, and boost overall productivity. It's particularly useful for teams that rely on agile methodologies and need to continuously monitor and improve their workflow efficiency.
Walkthroughs and reviews on video.
https://www.youtube.com/watch?v=tkaVq2c7-2w
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Sourcegraph and LinearB.
Sourcegraph's answer
Quinn Slack and Beyang Liu founded Sourcegraph in 2013. They met at Stanford and later worked together at Palantir, where they saw how hard it was for developers to understand large enterprise codebases. Engineers at Google had strong internal code search, and almost nobody else did. Sourcegraph set out to give every company that ability. It started as universal code search, grew into code intelligence and large-scale automated changes, and now provides the context layer for AI agents. The pitch has stayed the same throughout: AI makes it faster to write code, which makes knowing what’s in your codebase more important, and Sourcegraph is the source of truth for that code.
Sourcegraph's answer
Sourcegraph's answer
Most alternatives are tied to one code host or are coding assistants that only see the repo in front of them. Sourcegraph sits beneath those tools rather than replacing them. It makes Claude Code, Cursor, Copilot, and Codex more accurate by giving them context from the whole codebase.
Sourcegraph's answer
Large engineering organizations with big, sprawling codebases spread across many repos and code hosts, often in regulated industries like financial services. The buyers are the VP of Engineering (productivity and AI ROI), the Head of Platform/DevEx (developer tooling, migrations, agent infrastructure), and the CISO (finding vulnerabilities and fixing them across the codebase). Day-to-day users are developers, platform teams, and increasingly AI agents.
Sourcegraph's answer
The MCP Server gives the same context to whatever AI agents a team already uses, and Agentic Batch Changes turns a plain-language request into pull requests across hundreds of repos.
Share your experience with using Sourcegraph and LinearB. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


The setup is one prompt long. You tell the agent to install Sourcegraph for semantic code search or xerj.org for patch and impact analysis. From that point it runs unattended:. - Source: dev.to / 3 months ago
Sourcegraph | Remote | Full-Time | SWE, Tech Lead, Agent Engineer, Product Manager, Product Marketing Manager | https://sourcegraph.com Sourcegraph is building the context layer for AI-powered software development. As AI accelerates code... - Source: Hacker News / 3 months ago
Sourcegraph | San Francisco | Full-Time | SWE, Design Engineer, Forward Deployed Eng, Head of Design, Solutions Eng, Dev Advocate (all roles write code) | https://sourcegraph.com Sourcegraph is hiring SWEs and FDEs for Amp... - Source: Hacker News / over 1 year ago
LinearB is an engineering productivity platform that provides visibility into developer workflows, automation, and process metrics. It collects data across the entire development lifecycle to diagnose blockers and optimize delivery. One... - Source: dev.to / 6 months ago
Most tools measure half the picture. Traditional metrics platforms like LinearB focus on quantitative signals (DORA metrics, cycle time). Survey platforms like Culture Amp capture sentiment across organizations but aren't... - Source: dev.to / 10 months ago
LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / over 2 years ago
When comparing Sourcegraph and LinearB, you can also consider the following products.

OpenGrok is a fast and usable source code search and cross reference engine.
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Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
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Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Compare GitHub to Sourcegraph or LinearB:

Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.
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Hound is an extremely fast source code search engine.
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GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
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