Alternatives toE2B

Best alternatives to E2B in 2026

When an AI assistant writes code and then needs to actually run it — to check it works, plot a chart, or process a file — that code has to execute somewhere. Running untrusted, AI-generated code directly on your own computer or servers is risky: a bug or a bad instruction could delete files or make unwanted network calls. E2B is a disposable, locked-down computer in the cloud that spins up in a fraction of a second, runs that code safely away from anything important, and then disappears. E2B provides secure, ephemeral cloud sandboxes built on Firecracker microVMs — the same lightweight virtualization technology AWS Lambda uses — with sandbox startup times under 200 milliseconds. It ships Python and TypeScript SDKs, supports session durations up to 24 hours on paid tiers, and gives sandboxes real internet access and a terminal, which is what lets an AI agent actually browse, install packages, and interact with tools instead of running in total isolation. The core SDK is open source, and E2B also offers bring-your-own-cloud, on-premises and self-hosted deployment options for teams with stricter compliance needs. Pricing starts free with $100 in usage credits, moves to a Pro plan at $150/month plus usage, and scales to custom Enterprise pricing.

Quick comparison of E2B alternatives

#ToolBest forPrice
1DaytonaTeams building AI coding agents, LLM code interpreters, or automation platforms that need to safely execute AI-generated code | Companies building data-analysis or automation copilots
2ModalAI/ML engineers | Data scientists | Platform teams
3NorthflankDéveloppeurs
4MorphTeams and companies building AI coding agents or IDE integrations that need to apply code edits reliably
5InterfazeDevelopers and organizations needing high-accuracy, deterministic structured data extraction from documents, images, audio or video
6InkboxDevelopers building AI agents that need to send/receive email, SMS, voice calls or iMessage
7Fireworks AIAI development teams, enterprises and startups building agentic systems, code assistants and conversational AI
8FirecrawlTeams building RAG pipelines, AI research agents, lead enrichment and competitive intelligence tools
9BrowserbaseAI/ML developers and enterprises (healthcare, supply chain, legal, fintech) needing browser automation for AI agents
10ArchalTeams building AI agents that take real actions against third-party SaaS APIs (GitHub, Slack, Stripe, Linear)
11PromptLayerAI engineering teams | Product teams with non-technical prompt editors
12HopsworksML engineers | Data engineers | Enterprises in finance, retail, government
#1
Daytona
DevOps, Cloud & Infrastructure🌐 EN

Sandboxed cloud execution infrastructure for AI agents to safely run code in under 90ms, across Python, TypeScript, Go, Ruby and Java.

#cloud#devops#containers#open-source#ai-agents
daytona.io
📄 Full details →
👥 Target audience

Teams building AI coding agents, LLM code interpreters, or automation platforms that need to safely execute AI-generated code | Companies building data-analysis or automation copilots

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
E2BModalCoderDevPodGitHub Codespaces
🔗 Visit Daytona
  • Sub-90ms sandbox creation, purpose-built for agentic code-execution workflows
  • Open source (AGPL) with a large, active GitHub community (72k+ stars)
#2
  • Sub-second cold starts even for large GPU-backed containers
  • Pay-per-second, zero charge for idle compute
#4
Morph
AI & Machine Learning🌐 EN

API that instantly merges AI-generated code edits into your actual files, so coding agents can make changes without rewriting whole files.

#api#llm#ai-agents#code-editor#code-review
morphllm.com
📄 Full details →
👥 Target audience

Teams and companies building AI coding agents or IDE integrations that need to apply code edits reliably

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
Aiderraw LLM-based diff application
🔗 Visit Morph
  • Purpose-built for fast, accurate code-edit application (10,500 tok/s, ~98% accuracy)
  • Used in production by JetBrains, Vercel and Webflow
#5
Interfaze
AI & Machine Learning🌐 EN

AI model purpose-built for tasks that need a consistent, reliable answer every time — reading documents, classifying content, transcribing speech.

#api#nlp#ai#machine-learning#computer-vision
interfaze.ai
📄 Full details →
👥 Target audience

Developers and organizations needing high-accuracy, deterministic structured data extraction from documents, images, audio or video

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
AWS TextractGoogle Document AIMistral OCR
🔗 Visit Interfaze
  • Deterministic, auditable outputs (confidence scores, bounding boxes)
  • Handles text, images, audio, files and video in one API
#6
  • Bundles email, SMS, voice and iMessage into one agent-native API
  • Shared context/vault persists across channels
#7
  • OpenAI/Anthropic-compatible API for easy migration
  • Fine-tuning bundled with inference (SFT, DPO, RL, LoRA)
#8
  • Purpose-built output formats (markdown, JSON schema) for AI consumption
  • Open source with a large, active community
#9
Browserbase
AI & Machine Learning🌐 EN

Cloud infrastructure of real, headless browsers that AI agents can control to browse, click and fill out forms like a human would.

#api#cloud#ai-agents#backend-as-a-service#ai-automation
browserbase.com
📄 Full details →
👥 Target audience

AI/ML developers and enterprises (healthcare, supply chain, legal, fintech) needing browser automation for AI agents

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
FirecrawlPlaywrightPuppeteerBrowserless
🔗 Visit Browserbase
  • Real headless browser instances, not a simulation
  • Handles authentication/session persistence for logged-in flows
#10
Archal
AI & Machine Learning🌐 EN

Testing environment that gives AI agents realistic, stateful clones of GitHub, Slack, Stripe and other SaaS tools so bugs get caught before production.

#api#testing#ai-agents#ci-cd#debugging
archal.ai
📄 Full details →
👥 Target audience

Teams building AI agents that take real actions against third-party SaaS APIs (GitHub, Slack, Stripe, Linear)

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
mablWireMockMock Service Worker
🔗 Visit Archal
  • Stateful, realistic clones instead of static mocked responses
  • Full traceability of API calls and state changes for debugging
#11
  • Lets non-engineers safely edit and test prompts
  • Eval harness catches regressions before deployment
#12
Hopsworks
AI & Machine Learning🌐 EN

Managed feature store and AI lakehouse platform for building production machine-learning systems with millisecond-latency feature serving.

#python#open-source#self-hostable#mlops#data-engineering
hopsworks.ai
📄 Full details →
👥 Target audience

ML engineers | Data engineers | Enterprises in finance, retail, government

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
FeastDatabricks Feature StoreSageMaker Feature Store
🔗 Visit Hopsworks
  • Sub-millisecond online feature lookups for real-time inference
  • Combines feature store, lakehouse and MLOps in one platform

FAQ about E2B alternatives

What is the best alternative to E2B in 2026?
Based on our selection, Daytona is the best alternative to E2B in 2026. Sandboxed cloud execution infrastructure for AI agents to safely run code in under 90ms, across Python, TypeScript, Go, Ruby and Java.. See our full ranking above to compare all options.
Is E2B free?
E2B is a paid tool. Several alternatives in our selection offer free or freemium versions.
How many alternatives to E2B are there?
mySelectas has listed 12 alternatives to E2B in the AI & Machine Learning category. Our selection is updated regularly to include the best options available.