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Everview vs LinearB
Both act on your delivery data rather than only charting it. They act in different places: LinearB automates the pull-request workflow inside git; Everview plans and re-plans the work itself on a live canvas and writes approved changes back to your tracker. This page states what each product’s own material says, and links every claim to its source.
How each product describes itself
“The engineering productivity platform”
Everview is an Execution Intelligence System: it reads execution from the tools you already use and renders your organization as one live spatial canvas, where every insight traces back to the tickets, commits, and conversations behind it.
Everview
Side by side
Every statement about LinearB below is taken from a page LinearB publishes, linked in the row it appears in and last checked on 9 September 2026. Where their published material is silent on a dimension, that row is left out rather than guessed at. Products change — if a row here is out of date, and we will correct it.
| Everview | LinearB | |
|---|---|---|
| How each product describes itself | An Execution Intelligence System — one living canvas that reads execution from the work itself, so every seat sees its part and can act on it. | “The engineering productivity platform.” LinearB states it helps you “turn context into outcomes and automations for AI agents, teams, and managers.”Source: linearb.io, checked 9 September 2026 |
| What the product surface is | A live spatial canvas of the organization — work, people, dependencies, capacity, and risk in one view, with a continuously re-analyzing insights panel beside it. | Named capabilities include AI Code Reviews, AI Insights, DevEx Surveys, DevOps Workflow Automation, Cost Capitalization, Resource Allocation and an MCP Server for querying data and building custom reports.Source: linearb.io/platform, checked 9 September 2026 |
| Where the product takes action | On the plan. You move a task, shift a deadline, or re-sequence a sprint, watch capacity, risk, and spillover recompute in simulation, and apply — the approved change writes back to Jira, GitHub, or Azure DevOps. | On the pull request. LinearB describes policy-based PR routing, approvals and tests, plus automations that “automatically identifies the top experts for each PR, and assigns them,” generate an AI PR description, add estimated-review-time labels, and “apply a missing-tests label to any PRs that lack updates to tests.”Source: linearb.io/platform, checked 9 September 2026 |
| What it reads from your tools | Jira, GitHub, and Azure DevOps are the certified execution providers: projects, boards, sprints, work items, pull requests, commits, and build history. | LinearB’s pricing page states the Essentials plan includes “GitHub Cloud integration only,” and that Enterprise adds “Multiple git integrations (GitHub on-prem, GitLab, BitBucket, Azure DevOps)” plus “Project management and communication integrations.”Source: linearb.io/pricing, checked 9 September 2026 |
| How pricing is published | Published plans on our pricing page, fetched live from the catalog so the site and the app can never disagree. A 14-day free trial, no credit card, and no seat minimum to start. | Published per-user list prices for two plans, Essentials and Enterprise, both billed annually, each with a stated contributor minimum (50 and 100 respectively) and a monthly AI-credit allowance. Current figures are on their pricing page.Source: linearb.io/pricing, checked 9 September 2026 |
| Deployment options each publishes | Cloud, or fully air-gapped — the whole system runs as a Docker deployment inside your own environment on enterprise plans. | The pricing page lists “On-prem agents” and “GitHub on-prem” among the Enterprise plan’s inclusions.Source: linearb.io/pricing, checked 9 September 2026 |
Which one fits your problem
Where LinearB is the better fit
If the bottleneck is the pull-request pipeline — reviews sitting unassigned, PRs going out without tests, routing rules you want enforced automatically — LinearB acts directly on that surface, and its automation list is explicit about what it does there. Everview does not automate code review or route PRs.
Where Everview is the better fit
If the bottleneck is a plan that stops being true the moment anything moves — dependencies nobody re-checked, capacity that was optimistic, a slip whose blast radius nobody can see — Everview works one level up. It models availability as real bandwidth, recomputes consequences the moment you change something, and pushes the approved result back to the tracker.
They are not mutually exclusive
One acts on the code review, the other on the plan behind it. Both read from the same git and tracker data, and Everview reads from your tools rather than replacing them, so running both does not create a second system of record.
Questions worth asking.
Is Everview an alternative to LinearB?
For the planning and delivery-visibility half, yes. For the pull-request automation half, no — Everview does not review code, route PRs, or write PR descriptions. If those automations are the reason you use LinearB, Everview is a complement rather than a replacement.
Does Everview measure DORA metrics like LinearB does?
Everview computes all four DORA signals per sprint — deployment frequency, lead time, change failure rate, and time to restore — from deploys, Actions runs, and PR lifecycle, in the context of the sprint that produced them. Everview also reads Say/Do ratio, capacity, and dependency risk from the same data. See the GitHub integration
Is there a seat minimum to start with Everview?
No. Everview starts with a 14-day free trial and no credit card, and plans are published on the pricing page rather than quoted. See pricing
How were the LinearB statements on this page sourced?
Every one is read from a LinearB-owned page — their home page, platform page, or pricing page — and each row links to the page it came from with the date it was checked. We describe what their material states and do not assert what their product cannot do. If something here has gone out of date, tell us and we will correct it.