Skip to content

Looking for a alternative?

GitDailies is the strongest Span alternative for GitHub teams that want digests, PR and DORA metrics, and alerts with self-serve, published PR-volume pricing that starts free and a metadata-only data footprint. Span remains stronger as an AI-native platform: quote-only and sales-led, with AI code attribution, investment allocation, and developer surveys. Jellyfish, Swarmia, and DX compete at that platform depth.

Install on GitHub Book a demo

What it costs

No list price to compare.

Span 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.

CapabilityGitDailiesSpan
Pricing modelBy PR volumePer code contributor
Entry priceFreeNo published price - quote only
Unlimited users on every planYesViewers free; contributors billed
Time to first metric~90 secondsNot published
DORA metricsYesYes
PR cycle time and throughputYesYes
Stale-PR alerts with custom thresholdsYesMetric-threshold alerts (Src)
Visual rule builder for alertsYesNot published
Personal daily digestYesManager and team digests
Slack / Telegram deliveryBothSlack only
Email digest deliveryYesYes
Metrics API for Grafana and KibanaYesSelf-serve API + MCP server
Historical metrics backfillUp to 18 monthsNot published
Deep Jira and Linear integrationCommit linkingDeep Jira; Linear not documented
Developer experience surveysNoDX surveys + pulse surveys
Investment allocation reportingNoAI-inferred allocation
Reads your source codeNeverYes - code-level AI attribution

Where Span is genuinely stronger

  • SOC 2 Type II certified, GDPR compliant, audit logs, RBAC
  • SSO and SCIM provisioning (WorkOS-based)
  • AI code detection (span-detect-1) and line-level AI attribution
  • AI-inferred investment allocation and DevFinOps R&D cost capitalization
  • Research-backed developer experience and pulse surveys
  • Self-serve Knowledge Graph API, MCP server, and the Src AI agent in Slack
  • GitHub and GitLab support
“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 Span?

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

Install today.Move faster daily.

Install GitDailies in 90 seconds. First report lands in your inbox tomorrow morning.

Try for Free Book a demo

Questions

What people ask before switching

Span does not publish prices. The pricing page says the platform is “Priced per code contributor” and routes every plan to a “Get Custom Pricing” sales conversation, so a 50-person team cannot compute its bill before talking to sales. Non-engineering users who only view dashboards are free; anyone who commits code across your connected tools is billed. GitDailies publishes its plans instead: Community is free for 50 merged pull requests per month, volume tiers run from $49 to $699, and a 50-person team typically lands on Pro 500 at $99 - with unlimited users on every tier. Your cost tracks pull-request volume, not headcount, and you can read the number before installing anything.

Yes, by design. Span’s AI attribution depends on code-level analysis: its span-detect-1 model takes files or pull-request diffs, semantically chunks them, and classifies each chunk as human- or AI-written, with accuracy Span reports at roughly 95 percent. That is a deliberate capability, not an accident - line-level attribution requires reading the lines. GitDailies takes the opposite position: it never clones repositories and does not read or store source code, working only from pull-request metadata such as titles, reviewers, timestamps, and status checks. Neither posture is wrong. If your requirement is measuring AI-written code, Span’s design serves it; if your requirement is the smallest possible data footprint, GitDailies’ design serves that.

No. Attributing code to an AI author requires reading the code, and GitDailies never clones repositories and does not read or store source code - so it cannot tell you what share of a pull request an agent wrote, by design. Span genuinely can: span-detect-1 classifies code chunk by chunk, and Span grounds its AI attribution in agent traces and code analysis. What GitDailies measures is the delivery outcome of all that code: pull-request flow and cycle time, review load and response times, and the four DORA metrics - Deployment Rate, Lead time for changes, Time to restore service, and Change failure rate. If measuring AI-written code is the requirement, Span serves it and GitDailies does not.

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.