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Daytona logo

Daytona

Cloud Deploy

Verified Publisher·Pending reviewVerified Adoption·Pending reviewEnterprise Ready·Pending review

Secure sandbox infrastructure for running AI-generated code and agent workloads with isolated, stateful environments, fast startup, and SDK control over files, git, and processes.

Developers also use

Generated from similarity, co-save, category, project, and adoption signals.

E2B logo
E2B

Cloud Deploy· e2b.dev

Freemium

Cloud sandbox and runtime infrastructure for AI agents and coding assistants, providing secure ephemeral environments for code execution, browser automation, and long-running tasks.

Why recommended

Same category

Keep evaluating Daytona

Comparisons, category adoption data, and shortlist guides that answer the questions this profile raises next.

Weigh Daytona against the alternatives

  • Daytona alternativesEvery cloud deploy product developers evaluate in place of Daytona.
  • Daytona vs E2BSide-by-side pricing, API surface, and adoption evidence.
  • Daytona vs ClawkSide-by-side pricing, API surface, and adoption evidence.
  • Daytona vs TupperSide-by-side pricing, API surface, and adoption evidence.

Enterprise fit

Buyer brief for procurement and architecture review

Source-labeled signals for cost, reliability, security, integration, and adoption proof. Missing compliance evidence is shown as a gap, not guessed.

Compare for enterpriseExport brief
Inferred

Commercial model

Freemium profile signal; exact enterprise terms need buyer review.

View source
Needs verification

Reliability

No status page, uptime, or SLA evidence attached

Needs verification

Security/compliance

No security, trust, or compliance source attached

Source linked

Integration fit

API available with docs/profile signal

View source
Verified

Adoption proof

1 verified adoption signal

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

API signal supports workflow automation.Docs are linked for implementation review.Open-source path can reduce lock-in review.At least one buyer evidence source is linked or verified.

Vendor value loop

Vendors receive anonymous aggregate evaluation demand by default. Account details are shared only after explicit buyer contact or consent.

Request vendor contact

Real data backfill while adoption proof grows

These are source-linked enrichment paths for missing fields. They are treated as proxies until claimed-company data and first-party tokens& adoption events replace them.

GitHub repository APIfreeStars, forks, license, topics, releases, default branch, repo freshness, and public contributor signal.OpenSSF ScorecardfreeOpen-source security posture checks for repos before enterprise review.Wikidata company graphfreeParent company, acquisition, and ownership hints to avoid misleading same-owner comparisons.

Events / Tours

Daytona developer events

Hackathons, workshops, office hours, launches, and partner challenges tied to this product.

Claim or partner

No public events yet

Claimed teams can add hackathons, webinars, office hours, and challenges, then measure attendee to usage ROI.

Public implementation evidence

Public projects using Daytona

Judging lockedEvent-linked buildSource: https://luma.com/swarmhackSubmissions are locked for judging after the event close.
Daytona logo
Anonymous builder2 months ago
Popper

**Project description** Popper is an adversarial verification gate for pull requests. We built it after AI coding agents began producing fixes faster than we could confidently review them. A green test was not always proof—it sometimes passed before the fix too. Popper extracts the behavioral claim behind a pull request, generates tests designed to break that claim, and executes each test against both versions of the code: **Fail before + Pass after = Evidence of a fix** Fireworks extracts the claim and generates adversarial tests. Daytona runs them safely in isolated sandboxes. CodeRabbit provides an independent static review, which Popper compares with the executed evidence while keeping opinion and proof clearly separated. Braintrust traces the pipeline, and CopilotKit lets reviewers ask questions about the results. Popper flags tests that pass on both versions as inconclusive and treats sandbox failures as missing evidence—not failed code. It then presents the claim, test results, disagreements, and a recommendation. A human always makes the final merge decision. We built Popper with Next.js and TypeScript, plus a replay system that can instantly load a previously verified run if a live service becomes unavailable.

Built with

Daytona logoDaytonaSecure sandbox infrastructure for running AI-generated code and agent workloads with isolated, stateful environments, fast startup, and SDK control over files, git, and processes.Braintrust logoBraintrustAI observability and evals platform for tracing production systems, running experiments, and catching regressions.CopilotKit logoCopilotKitFrontend stack for embedding agents, generative UI, and AG-UI workflows in applications.OpenAI Agents SDK logoOpenAI Agents SDKOpen-source Python SDK for building, running, tracing, and handoff-driven AI agents with OpenAI models and tools.
0 0 0Open

AgentRank trust profile

Public proof buyers and agents can trust

Claim this tool to see who is evaluating it

AgentRank

51

Public signals · ★ 71,749

Trust Score

47

observed

Category Rank

#4

Cloud Deploy · public signals

Protocols

API, SDK

Agent-readable metadata

Tracked Developers

1

Known active developer activity

Profile Status

Unclaimed

Owner action needed

Trust Registry

AgentRank evidence file
observed

Source breakdown

GitHub71,749

68% confidence

Protocol support

APISDK
Adoption over time
Last 8 weeksCohort private until N≥7 · trust 47

Timeline appears after verified events.

We do not draw a fake adoption chart before live usage, self-reported proof, or challenge activity exists for this product.

Private (N<7)

active developers

Private (N<7)

verified adoptions

Private (N<7)

retention

Your developer adoption profile is already visible.

Claim it to verify data, add integrations, and unlock adoption intelligence on developers and accounts evaluating Daytona.

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Developer identities

See the builders behind saves, docs clicks, API calls, and retained usage.

Talk to sales

Account map

Developer identities, account mapping, retention cohorts, and competitor overlap are available on Growth and Enterprise plans.

About Daytona

Secure sandbox infrastructure for running AI-generated code and agent workloads with isolated, stateful environments, fast startup, and SDK control over files, git, and processes.

Resources
DocsDocs

Official implementation documentation.

GitHubGitHub

Public source repository.

Official websitelaunch_source

Public source used by the daily tool intake.

Public links
Visit WebsiteDocumentationGitHub3 Resources
GitHub Stats

71,749

Stars

5,645

Forks

457

Issues

Quick Info
PricingFreemium
Open sourceYes
API availableYes
13,887
1,041
Open source
Why recommended

Same category

Clawk logo
Clawk

Cloud Deploy· github.com

Open source

Open-source sandbox runtime that gives AI coding agents disposable, network-restricted Linux virtual machines instead of access to a developer laptop.

Why recommended

Same category

1,010
38
Open source
Why recommended

Same category

Tupper logo
Tupper

Cloud Deploy· github.com

Open source

Open-source local sandboxes for safely running untrusted AI-generated code with isolated execution environments.

Why recommended

Same category

95
2
Open source
Why recommended

Same category

Modal logo
Modal

Cloud Deploy· modal.com

Freemium

Serverless cloud platform for running AI, data, and agent workloads with Python-first deployment.

Why recommended

Same category

515
130
API available
Why recommended

Same category

Daytona vs ModalSide-by-side pricing, API surface, and adoption evidence.

Check the adoption evidence

  • Cloud Deploy developers actually keep usingFiltered to products with verified usage events, cohort breadth, and retention.
  • AgentRank category rankingsHow every category is ordered by adoption proof, trust, and protocol support.
  • Best Open Source AI ToolsShortlist guide for this category, with the tradeoffs written out.

Own Daytona? Generate its adoption badge embed, or claim the profile to send verified usage events.

+4

Agent-readable protocol evidence raises trust and commercial readiness.

Benchmark proof

Benchmark proof pending

Attach latency, cost, accuracy, reliability, or eval evidence to unlock the performance component.

Trust gaps

Verify publisher ownership
Send SDK/API telemetry
Attach benchmark evidence

Enterprise verification can enrich evidence and export proof packages, but cannot buy rank.

Claim this tool to see who is evaluating it
Next best action

Claim Daytona before competitors use this profile as proof.

Connect usage events, resolve developer identities, and see which accounts are evaluating Daytona.

Claim this tool to see who is evaluating it

Resolve developer activity into companies, teams, and enterprise accounts.

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Retention cohorts

Track first API call through 7/30/90-day retention and expansion.

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Competitor overlap

Find developers evaluating alternatives and switching between tools.

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Category benchmark

Compare activation, retention, and growth against your market.

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Recommended actions

Prioritized DevRel, product, and sales plays based on live adoption signals.

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