LinearB, Swarmia & Jellyfish Alternatives 2026
What is the best alternative to LinearB, Swarmia and Jellyfish?
LinearB, Swarmia and Jellyfish are excellent at one job: measuring engineering. They turn Git and Jira into DORA charts, cycle-time breakdowns and investment reports. The gap they all share is the same one: a dashboard tells you what is happening, not what to do on Tuesday morning. The strongest alternative for teams that want measurement and action is an Engineering Intelligence Platform (EIP) β where the same signals feed a Manager Copilot, 1:1 prompts, hiring, training and security, not just a report for the VP.
| Tool | Category | Best for | Where it stops |
|---|---|---|---|
| EIP / DevInsight β | Engineering Intelligence Platform | Team leads who want metrics that lead to action | Founder-led alpha β early, not yet at scale |
| LinearB | Metrics + workflow automation | Cycle-time and PR-level optimisation | Analytics-first; coaching stays manual |
| Swarmia | Productivity + developer experience | Healthy metrics + investment balance + surveys | Measurement only; no hiring / security layer |
| Jellyfish | Enterprise engineering management | R&D allocation, finance alignment, exec reporting | Built for VP/Finance, not the team lead; enterprise pricing |
EIP / DevInsight at a glance
Why teams start looking past the dashboards
These are good products. If you have none of them, adding LinearB or Swarmia is a real upgrade over guessing. But three patterns push teams to look for an alternative β and none of them are about the quality of the charts.
A dashboard measures; it does not manage
DORA scores, cycle time and investment splits tell you where the system hurts. They do not tell the team lead what to raise in Thursday's 1:1, which junior is quietly stuck, or how to phrase the coaching conversation. That translation β from number to action β is still done by hand, every week.
They are built for the VP, not the person running the team
Most engineering-metrics tools are sold top-down: resource allocation for the VP of Engineering, R&D capitalisation for Finance (Jellyfish is explicit about this). The team lead at 9:55 on Tuesday β the person who actually changes outcomes β often gets a read-only view of someone else's dashboard.
Metrics are only one of four problems
Visibility is real, but a team lead is also hiring, training juniors into seniors, adopting AI tooling, and trying not to ship security holes at speed. A metrics tool leaves all of that in separate systems (or spreadsheets). Nothing connects the read on the team to what you do about it.
Before you swap tools, it is worth being clear on what you actually want to measure. Our guide on measuring engineering productivity without vanity metrics is a useful blueprint β whichever platform you end up choosing. Not sure which signals matter for your team? Ask us; a 20-minute call usually settles it.
EIP vs. LinearB vs. Swarmia vs. Jellyfish β an honest comparison
Each of these is strong at what it was built for. Knowing which problem each one solves is the fastest way to see whether you need a metrics tool β or an operating system.
EIP / DevInsight β Engineering Intelligence Platform
Recommended when you want metrics that turn into action
DeViLink's Engineering Intelligence Platform is not a dashboard product β it is an operating layer for engineering leaders, built on four pillars: Talent (hiring, staffing, training), AI (AI-augmented development and training), Visibility, and Security & QA. DevInsight is the visibility module β the direct like-for-like comparison to LinearB, Swarmia and Jellyfish. It pulls DORA from real repository data, connects Git, Jira, Claude Code, Cursor, 1:1 notes and peer feedback into four lenses, and β the part the others do not do β feeds a Manager Copilot that suggests concrete 1:1 topics and coaching prompts grounded in actual work patterns.
Best for: Team leads and engineering leaders who want the instrument panel and the next action β and who value EU data residency and the option of an instrumented team or advisory around the platform.
LinearB
Metrics + workflow automation for delivery speed
LinearB is one of the most mature engineering-metrics platforms. Its strength is cycle-time and PR-level analytics paired with workflow automation (its gitStream feature can auto-route or auto-approve pull requests based on rules). DORA dashboards, project delivery tracking and goal-setting are polished. Pricing is per-contributor SaaS with a free tier for smaller teams. If your core problem is βPRs sit too long and we want to automate the busywork,β LinearB is a very strong fit.
Best for: Engineering leaders focused on delivery-flow optimisation and PR automation, who already have the coaching and hiring layers covered elsewhere.
Swarmia
Productivity + developer experience, done healthily
Swarmia has the best reputation for measuring productivity without turning it into surveillance. It combines flow/DORA metrics, an investment-balance view (features vs. bugs vs. maintenance) and developer-experience surveys β objective and subjective signals side by side, which is exactly the right instinct. It is per-active-developer SaaS with a free tier. Its deliberate boundary is that it is a measurement and insights tool: it will not hire for you, run your training, or track security findings.
Best for: Teams that want a healthy, well-designed metrics-plus-surveys tool and are happy to keep everything beyond visibility in separate systems.
Jellyfish
Enterprise engineering management & business alignment
Jellyfish is the enterprise option. Its centre of gravity is business alignment: where engineering money goes, R&D capitalisation for finance, and resource allocation for executives. It is powerful for a VP of Engineering who has to defend the budget in front of the CFO. The trade-offs are the usual enterprise ones β sales-led, quote-based pricing, a heavier rollout, and a design aimed squarely at the leadership/finance layer rather than the team lead running day-to-day work.
Best for: Larger organisations where R&D capitalisation and finance-facing reporting are the primary job, and budget for an enterprise contract is available.
Metrics tool vs. operating system: full comparison
The honest split is not βbetter charts.β It is scope: a focused analytics tool versus a platform that connects the read on your team to what you do about it.
| Criterion | LinearB / Swarmia / Jellyfish | EIP / DevInsight |
|---|---|---|
| Primary user | VP Eng / Finance β top-down reporting (Jellyfish especially) | The team lead who runs the team β plus leadership |
| Core job | Measure and report | Measure and act β Copilot turns signals into 1:1 topics |
| Scope | Metrics / analytics only | Operating system: visibility + talent + AI + security & QA |
| AI-augmented development | Bolted on as extra "AI insights" | Native β Claude Code / Cursor signals are in the baseline |
| Services around the tool | Self-serve SaaS β tool only | Optional: instrumented outsourced team or engineering advisory |
| Data residency | Varies; often US-hosted | EU-only (Frankfurt / Gravelines / Paris), on-prem on request |
| Pricing | Per-contributor SaaS with free tiers (LinearB, Swarmia); enterprise quote (Jellyfish) | Transparent from β¬0 β Startup β¬19.99, Enterprise β¬34.99 / user / mo |
| Maturity | Mature, polished, proven at scale | Founder-led closed alpha β early-access |
Note: LinearB, Swarmia and Jellyfish evolve quickly and each has its own edge β check their current feature sets directly. This comparison reflects their category positioning as measurement platforms versus EIP's scope as an operating system for engineering leaders.
Which one is right for you?
EIP / DevInsight is the better fit when:
- βYou want metrics that lead to a next action, not just a dashboard to admire
- βThe team lead β not only the VP β should have the instrument panel
- βYou run AI-augmented development (Claude Code, Cursor) and want it in the baseline
- βEU data residency or on-premise matters (GDPR / data sovereignty)
- βYou'd value the option of an instrumented team or advisory around the platform
- βYou want transparent pricing that starts free
A focused metrics tool is enough when:
- βYou only need reporting for leadership or finance, and coaching is already handled
- βYou need a mature, at-scale product today and can't run an early-access alpha
- βR&D capitalisation and finance alignment are the primary job (Jellyfish's strength)
- βPR automation and cycle-time optimisation are the main goal (LinearB's strength)
- βYou want a healthy metrics-plus-surveys tool and nothing beyond visibility (Swarmia)
Where DevInsight fits in the platform
The naming matters here: the product is the Engineering Intelligence Platform. DevInsight is one module within it β the one that competes directly with the tools above. The reason to start there and not with a standalone dashboard is that the same signals keep working as you grow into hiring, training, AI adoption and security, instead of living in a tool you have to replace later.

See the alternative to a read-only dashboard
DevInsight is in closed alpha β first month free, guided onboarding, SaaS in Frankfurt with EU-only data residency. Or book a demo and we'll walk through your concrete signals together β no homework required first.

