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GitDailies is the strongest Jellyfish alternative for team leads who want day-to-day GitHub delivery visibility: digests, PR and DORA metrics, and alerts starting free, with published prices and no sales call. Jellyfish remains stronger as an executive platform - investment allocation, DevFinOps, DevEx surveys, and AI Impact reporting on Jira data. Swarmia, LinearB, and DX compete at that platform depth.

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What it costs

No list price to compare.

Jellyfish does not publish pricing - every figure is quote-only. GitDailies plans are published, from $0. Move the slider to see what GitDailies costs at your size.

Side by side

Where each is stronger.

CapabilityGitDailiesJellyfish
Pricing modelBy PR volumePer seat + modules
Entry priceFreeQuote only
Unlimited users on every planYesNo
Time to first metric~90 secondsSales-led rollout
DORA metricsYesYes
PR cycle time and throughputYesYes
Stale-PR alerts with custom thresholdsYesNot published
Visual rule builder for alertsYesNot published
Personal daily digestYesNot published
Slack / Telegram deliveryBothSlack + Teams; no Telegram
Email digest deliveryYesNot published
Metrics API for Grafana and KibanaYesAPI (on request)
Historical metrics backfillUp to 18 monthsNot published
Deep Jira and Linear integrationCommit linkingPlatform core
Developer experience surveysNoDevEx surveys module
Investment allocation reportingNoPatented allocation model
Reads your source codeNeverNot published

Where Jellyfish is genuinely stronger

  • SOC 1 Type II and SOC 2 Type II audited
  • DevFinOps: software capitalization and R&D tax credit reporting for finance teams
  • Investment allocation on a patented data model spanning Jira, Linear, and Azure Boards
  • AI Impact module: AI adoption, multi-tool evaluation, token spend metrics, and ROI reporting
  • DevEx surveys with Slack-automated collection
“GitDailies is one of the most customer-obsessed vendors we work with - clear communication, killer features.”

Alexander Neben

Director of Engineering, MongoDB

Moving over

Switching from Jellyfish?

Run both for a fortnight and compare the numbers before you cancel anything.

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Questions

What people ask before switching

Jellyfish does not publish prices. Its pricing page states that “Jellyfish pricing is based on number of seats and specific modules selected” and directs buyers to request a quote from sales. Cost depends on headcount and on which module tiers you buy - AI Impact, Developer Productivity, or DevFinOps - and no free tier or trial is published. For comparison, GitDailies publishes every price: a 50-person team merging around 500 pull requests per month fits the Pro 500 plan at $99 per month, with unlimited users.

Ask what question the tool must answer. An engineering-intelligence platform such as Jellyfish answers portfolio questions: where engineering investment goes, how R&D spend capitalizes, what AI tooling returns. That takes ticket data from Jira, Linear, or Azure Boards, seat-based contracts, and a sales-led rollout. A visibility tool answers delivery questions: which pull requests are waiting, how cycle time trends, whether the DORA numbers moved this month. GitDailies covers the second set from GitHub metadata alone, with published prices and no rollout project. If nobody is asking the portfolio questions yet, you do not need the platform yet.

Jellyfish’s trust center states audited SOC 1 and SOC 2 attestations, both Type II, plus TLS 1.2+ in transit, AES 256-bit encryption at rest, and AWS hosting. It does not state whether Jellyfish reads or stores source code, and details such as alert rules, digest delivery, and backfill depth are not published on its public site either - ask sales for the data-access documentation before you buy. GitDailies publishes its posture plainly: it never clones repositories and does not read or store source code, and every GitHub App permission scope is read-only.

Per-seat tools charge for every developer on the team, so the bill grows with headcount whether or not activity does. GitDailies plans are sized by the pull requests your team merges per month, in volume bands: a 50-person team merging 400 PRs fits the up-to-500 band at a flat published price. Contractors, reviewers, and occasional committers are free on every plan, and the price only changes when your monthly volume crosses into another band.

No. GitDailies never clones repositories and does not read or store source code. It works from pull request metadata - titles, reviewers, timestamps, status checks - through a GitHub App whose every permission scope is read-only. It also does not use your data to train AI models.

Yes. Deployment Rate, Lead time for changes, Time to restore service, and Change failure rate. Deployments come from a nominated GitHub Actions workflow or from external CI/CD through an incoming webhook, and incidents arrive on the same webhook, so all four charts run on your actual delivery path.