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“The #1 framework for AI-generated electronics.”

tscircuit is an open-source, code-based EDA framework that allows you to describe schematics and PCBs in React and TypeScript. From the code, the system generates schematic, PCB, 3D, and manufacturing views, among other things. AI assistants can interpret requirements, search for components, and generate the necessary tscircuit code.
tscircuit

The #1 framework for AI-generated music

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5.9/10 KIFOX Score – Limited

Location: USA tscircuit, Inc., 3106 25th Street, San Francisco, CA 94110, USA

Programming Circuit Design
Free The core is open-source under the MIT license and can be used locally via the CLI or as a TypeScript/React framework. This enables full-fledged circuit design, PCB layout, simulation, and export workflows. Other PCB Hosting and Ordering Service Hosting and ordering of printed circuit boards, circuit modules, schematics, 3D models, and other electronics assets.

Private Registry Use of a custom npm-compatible registry for internal components, files, and team collaboration.

External AI Providers AI requests can be processed via OpenAI and Anthropic; potential costs and quotas depend on the specific integration.

Target audiences

tscircuit is primarily aimed at electronics developers, makers, embedded teams, hardware startups, and software developers who want to treat hardware like software. The framework is particularly well-suited for users who are already familiar with TypeScript, React, Git, and automated development processes. For traditional designers who are accustomed exclusively to graphical EDA interfaces, some training will be required.

Outstanding features

The key feature is the ability to define complete electronics projects in React and TypeScript. A shared codebase can generate schematics, PCB layouts, 3D views, simulations, and manufacturing files. The official AI skill provides language models with the necessary contextual knowledge to search for components, write code, and iterate on designs. Git-based changes, visual diffs, programmable component libraries, and open data formats set tscircuit apart from traditional desktop EDA systems.

Key Areas of Application

Typical applications include the development of small and medium-sized printed circuit boards, reusable reference designs, rapid hardware prototyping, AI-assisted circuit generation, automated variant creation, and the integration of electronics design into software CI/CD processes. Manufacturing data such as Gerber files, bill of materials, and pick-and-place files can then be exported or used for an integrated prototype order.

Usage & Notes

Projects are primarily written in TypeScript or JSX-like syntax. Despite AI support, the resulting circuits should be reviewed, simulated, and subjected to a design rule and plausibility check by qualified electronics engineers prior to manufacturing. For confidential projects, the local CLI is preferable to an unverified transfer to external AI providers.

Target audienceAssessment
Individuals / MakersYes, if you have programming skills—suitable for open-source hardware, prototypes, and your own PCB projects.
Self-employed / FreelancersYes – useful for rapid electronics prototyping, reusable circuit modules, and AI-assisted PCB development.
SMEsConditionally yes – of interest for hardware startups and small development teams; governance, data protection, and platform maturity should be evaluated.
Large enterprisesTo a limited extent – local use and private package registries are possible, but publicly documented enterprise, SSO, or compliance features are lacking.
Developers / Hardware TeamsVery well suited – the core target audience is developers who treat electronics like software and want to use version control, TypeScript, React, and AI assistants.
Education / UniversitiesWell-suited – Open source, programmable, and interesting for learning PCB, circuit, and automation workflows.
Non-technical usersNot really – Without knowledge of TypeScript, React, or electronics, it is significantly more challenging than traditional graphical EDA programs.
Organizations with data protection concernsTo a limited extent – local operation is possible; however, online and AI services are operated in the U.S. and use OpenAI or Anthropic.

Fact-based AI assessment:
AI tool: Yes, with limitations. AI component: medium. Impact on overall functionality: medium to high.
tscircuit describes itself as a framework for AI-generated electronics and provides a special “skill” integration that allows AI assistants to search for components, write tscircuit code, and iterate on designs. However, the technical core—React/TypeScript components, rendering, SPICE simulation, exports, and autorouting—also functions without generative AI. AI is therefore an important means of creation and operation, but not the sole foundation of the product.

Hosting & Data

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
?

1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.

2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.

3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.

4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.

5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.

6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.

7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
On-prem / local hosting ⚠️
Private cloud / data center
EU SaaS / Managed
Hybrid ⚠️
DPA / AVV
No training on customer data
Open source / transparency path

On-Prem / local hosting: partial

The website states that tscircuit can be used locally via the CLI. It also says elsewhere that autorouting runs locally, and earlier descriptions mention browser execution. However, no formal on-prem offering by the provider with customer-owned infrastructure or local model operation is described.

Private Cloud / data center: unclear

Not specified on the website. There is no documented indication of a dedicated private cloud, EU/EEA data centers, or isolated enterprise environments.

EU SaaS / Managed: unclear

There is a web-based application and several hosted services, but the website lacks information on EU data residency, EU/EEA hosting, or selection of a European data center.

Hybrid: partial

The website describes both local use via CLI and a web-based application and hosted APIs. This makes a mixed usage scenario conceivable, but an explicit hybrid operating model for privacy or compliance purposes is not described on the website.

DPA / Data Processing Agreement: unclear

Not specified on the website. No DPA/Data Processing Agreement or corresponding contract page was found.

No training: unclear

Not specified on the website. No clear statement was found that prompts, uploads, chat histories, or outputs are not used for training general models, nor any corresponding opt-out for AI training.

Open source / transparency path: covered

The website describes tscircuit several times as open source under the MIT license, as 'Open & forkable', refers to the GitHub organization, and mentions local CLI usage as well as a private registry model. This creates a clear path for transparency and sovereignty.

Data processing

The website describes tscircuit as a combination of a web-based service and a locally usable CLI. There are several hosted components such as registry-api, compile_api, usercode_api, browser_preview, svg_service, and other services visible on the status page. However, for EU/EEA-relevant data processing questions, the website lacks reliable information on server locations, data centers, data residency, subprocessors, and contractual protection mechanisms.

Conclusion

For an EU/EEA tool directory, it is positive that tscircuit has an open and locally usable approach. However, for a reliable GDPR assessment of hosted usage, the provider's website lacks essential compliance information. Therefore, SaaS/managed usage is not sufficiently documented from an EU/EEA perspective; a more privacy-friendly path via local usage is recognizable, but is not fully described as a straightforward, documented compliance path.

Sources

On-prem / local hosting ⚠️
Private cloud / data center
EU SaaS / Managed
Hybrid ⚠️
DPA / AVV
No training on customer data
Open source / transparency path

On-Prem / local hosting: partial

The website states that tscircuit can be used locally via the CLI. It also says elsewhere that autorouting runs locally, and earlier descriptions mention browser execution. However, no formal on-prem offering by the provider with customer-owned infrastructure or local model operation is described.

Private Cloud / data center: unclear

Not specified on the website. There is no documented indication of a dedicated private cloud, EU/EEA data centers, or isolated enterprise environments.

EU SaaS / Managed: unclear

There is a web-based application and several hosted services, but the website lacks information on EU data residency, EU/EEA hosting, or selection of a European data center.

Hybrid: partial

The website describes both local use via CLI and a web-based application and hosted APIs. This makes a mixed usage scenario conceivable, but an explicit hybrid operating model for privacy or compliance purposes is not described on the website.

DPA / Data Processing Agreement: unclear

Not specified on the website. No DPA/Data Processing Agreement or corresponding contract page was found.

No training: unclear

Not specified on the website. No clear statement was found that prompts, uploads, chat histories, or outputs are not used for training general models, nor any corresponding opt-out for AI training.

Open source / transparency path: covered

The website describes tscircuit several times as open source under the MIT license, as 'Open & forkable', refers to the GitHub organization, and mentions local CLI usage as well as a private registry model. This creates a clear path for transparency and sovereignty.

Data processing

The website describes tscircuit as a combination of a web-based service and a locally usable CLI. There are several hosted components such as registry-api, compile_api, usercode_api, browser_preview, svg_service, and other services visible on the status page. However, for EU/EEA-relevant data processing questions, the website lacks reliable information on server locations, data centers, data residency, subprocessors, and contractual protection mechanisms.

Conclusion

For an EU/EEA tool directory, it is positive that tscircuit has an open and locally usable approach. However, for a reliable GDPR assessment of hosted usage, the provider's website lacks essential compliance information. Therefore, SaaS/managed usage is not sufficiently documented from an EU/EEA perspective; a more privacy-friendly path via local usage is recognizable, but is not fully described as a straightforward, documented compliance path.

Sources

Strengths & weaknesses at a glance

Strengths Weaknesses
• Open-source core licensed under the MIT License • Code-based operation requires a working knowledge of TypeScript and React.
• Highly versionable hardware definitions • The workflow is unfamiliar to traditional EDA users.
• Suitable for agent-based and AI-driven development • The level of maturity and the ecosystem are less developed than those of long-established EDA suites.
• Local CLI usage supported • AI results must be verified from an electrical engineering perspective.
• Reusable circuits as software packages • There is a lack of public information regarding commercial platform pricing, SLAs, support tiers, and enterprise contracts.
• Simulation, manufacturing export, and component search in a single toolchain • When using the hosted AI features, data is processed with OpenAI or Anthropic, according to the privacy policy.
• Good integration with developer and Git workflows

Data last updated: 9. June 2026

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