The most compelling substitutes for Jellyfish in the current engineering-intelligence landscape:
- Pensero
- LinearB
- Swarmia
- Biland
- Waydev
- Snapshot Reviews
- Taito.ai
- Entelligence
Engineering leaders across all types of organizations face the same underlying issue: trying to understand what their teams are actually producing without getting lost in a maze of dashboards, scattered metrics, and analytics-heavy terminology.
Jellyfish is well established in this category, but its expansive feature set, finance-heavy focus, and enterprise-tilted pricing model don’t always match the practical needs of day-to-day engineering leadership.
Depending on what you value most, visibility into daily activity, actionable summaries, developer experience, or AI-driven insights, different alternatives may suit you better. If you’re currently evaluating Jellyfish alternatives, the following guide breaks down the eight strongest options for 2025.
Why Some Teams Move Away from Jellyfish
Before looking at alternative tools, it helps to understand where the friction points typically arise.
Jellyfish is exceptional in areas tied to executive financial oversight: DevFinOps, R&D budget visibility, capitalization reporting, and resource allocation. These capabilities matter enormously for CFOs, VPs of Engineering, and companies operating at enterprise scale.
But many engineering managers discover that the features intended for financial reporting dilute their ability to quickly understand team progress, unblock developers, or identify workflow issues. The platform’s depth can feel like overkill when your daily focus is coaching, planning, and ensuring projects move smoothly.
It’s also important to note that Jellyfish primarily targets companies with large engineering organizations. For smaller to mid-sized teams who need clarity without enterprise overhead, the fit can feel misaligned.
The 8 Best Alternatives to Jellyfish
1. Pensero
Pensero reimagines engineering intelligence by stripping away the noise and turning raw engineering activity into insights you can act on immediately.
Created by operators who’ve spent decades in the tech industry, Pensero prioritizes clarity above everything else. Instead of expecting you to interpret dozens of dashboards, the platform gives leadership-ready summaries in natural, easy-to-read language.
Why Pensero stands out
Where other platforms rely on charts and complex visualizations, Pensero produces plain-language “Executive Summaries” that explain engineering output in terms anyone can understand. It eliminates translation work for managers who often have to turn technical activity into business-friendly narratives.
Key capabilities
- What Happened Yesterday surfaces a concise digest of actual work completed each day without needing manual reports.
- Body of Work Analysis looks deeper than velocity or commit counts to evaluate real engineering output and technical contribution over time.
- Executive Summaries automatically generate iteration/sprint recaps written like a human would explain them.
- AI Cycle Analysis shows how AI tools are affecting real workflow behavior, not just based on tags or assumptions.
- Industry Benchmarks offer comparative performance insights so you can contextualize your team’s metrics.
Need-to-know details
Integrations: GitHub, GitLab, Bitbucket, Jira, Linear, Notion, Slack and more
Pricing: Free for 10 engineers/1 repo; $50/mo; enterprise plans available
Customers: Travelperk, Elfie.co, Caravelo
Why Pensero should be your starting point
Pensero is designed for managers who want to lead, not spend their time interpreting technical data. If you want an engineering-intelligence platform that speaks the language of leadership rather than the language of Git, this is the strongest first option.
2. LinearB
LinearB offers a strong mix of delivery metrics and workflow automation, which makes it a good match for teams deeply invested in DevOps and delivery optimization.
Backed by a large team and strong investment, LinearB provides real-time dashboards, DORA insights, and a suite of AI-powered features designed to reduce repetitive engineering tasks.
Where LinearB excels
Its AI additions, automatic PR descriptions, iterative summaries, and code review support, focus on accelerating delivery pipelines. LinearB shines for teams scaling past 50 engineers, especially those who rely heavily on DORA/SPACE frameworks.
Need-to-know details
Best for: Mid-large teams with mature DevOps pipelines
Integrations: GitHub, GitLab, Bitbucket, Jira, Slack
Pricing: Free tier; paid plans from $49/month
3. Swarmia
Swarmia differentiates itself with a developer-first philosophy rather than a top-down management approach. Its emphasis on transparency and ownership makes it a favorite among teams who want visibility without micromanagement.
What makes Swarmia different
Developers can see their own work patterns, understand blockers, and track improvements themselves. For managers, Swarmia still offers clear DORA metrics, delivery insights, and investment tracking that shows where engineering time is actually going.
Need-to-know details
Best for: Teams prioritizing autonomy, healthy culture, and sustainable workflow habits
Note: Less finance-oriented reporting than Jellyfish or Pensero
4. Bilanc
Bilanc, a YC W24 company, focuses on something many tools avoid: performance evaluation. Instead of simply reporting metrics, Bilanc uses AI to compile performance reviews grounded in real codebase data and contribution patterns.
Core value
Its underlying knowledge graph organizes your codebase into a structured system that allows for deep analysis. Leaders get thorough, data-supported reviews without spending hours gathering evidence.
Notable features
- Advanced pull-request complexity scoring
- Bell-curve distribution to identify outliers
- Strong emphasis on summarizing long-term contribution patterns
Need-to-know
Best for: Leaders who want structured, AI-supported performance reviews
Pricing: ~€20 per engineer/month
Customer highlight: MoonPay
5. Waydev
Waydev focuses on dashboarding and comprehensive DORA/SPACE metric integration, giving managers a structured, data-backed overview of engineering productivity.
Key strengths
It blends delivery metrics with team-health indicators. The engagement module, for example, surfaces burnout risks and workload imbalances using survey inputs and activity analysis.
Best for
Managers who want strong frameworks and structured analytics without deep automation.
6. Snapshot Reviews
Snapshot Reviews brings something most platforms only touch on: deep code quality analysis enhanced by AI.
Built by Flatiron Co., the platform integrates with Jira and GitHub to evaluate contribution patterns while using AI to review code line-by-line.
What makes Snapshot Reviews unique
The AI-driven code analysis is exceptionally detailed. For quality-focused teams, this provides a layer of visibility that goes far beyond traditional engineering intelligence tools.
Pricing
Free plan available
Paid: $15 or $40 per engineer/month depending on AI depth
Best for
Teams where code quality matters as much as delivery speed.
7. Taito.ai
Taito.ai reframes engineering management by focusing on continuous performance enablement rather than periodic evaluation.
Core philosophy
The platform assists managers in ongoing performance conversations, goal setting, and feedback cycles. Rather than collecting data annually, it captures insights all year and centralizes them into a unified view.
Integrations
Slack, Google Calendar, HRIS systems
Best for
Organizations modernizing their performance review process.
8. Entelligence
Founded by an ex-Uber engineering manager, Entelligence combines AI-powered code review, automated documentation, and repository intelligence into a single platform.
Key features
- Context-aware AI code reviews
- Automatically generated documentation
- Natural-language codebase search (Codebase Chat)
- Repository-level reporting
Technical stack
React/TypeScript on the frontend; Python/Django on the backend.
Pricing
Freemium; $20/user/month for the full tier
Best for
Teams wanting AI-assisted code reviews and documentation maintenance.
Choosing the Right Jellyfish Alternative
Engineering intelligence is shifting rapidly. The winners in this space are not those with the most charts, they are the platforms that help leaders make decisions confidently and quickly.
Every tool above has a strong angle:
LinearB → DevOps automation
Swarmia → Developer autonomy and culture
Biland → Performance review depth
Waydev → DORA/SPACE frameworks
Snapshot Reviews → AI-driven code analysis
Taito.ai → Modern performance feedback
Entelligence → Repository intelligence and documentation
But if your main challenge is translating engineering activity into clear, strategic understanding, Pensero stands in a category of its own. Its emphasis on clarity, daily visibility, and human-readable summaries aligns with what modern engineering leadership actually needs.
Starting with Pensero’s free tier gives you a practical way to experience how engineering intelligence can feel when it is designed for leaders, not analysts.