Back to List
Cal.diy Launched as MIT-Licensed Open-Source Community Fork of Cal.com for Self-Hosters
Open SourceSelf-HostingOpen SourceScheduling Software

Cal.diy Launched as MIT-Licensed Open-Source Community Fork of Cal.com for Self-Hosters

Cal.diy has been introduced as a community-driven, fully open-source scheduling platform, serving as a fork of Cal.com. Unlike the original platform, Cal.diy removes all enterprise and commercial code, offering a 100% MIT-licensed solution without proprietary features. It is specifically designed for individual self-hosters who require full control over their scheduling infrastructure without commercial dependencies or license keys. The project is strictly recommended for personal, non-production use and requires advanced technical knowledge in server and database management. Built with a modern stack including Next.js, tRPC, and Prisma, Cal.diy operates entirely on user-owned infrastructure with no managed or hosted version available from the developers.

Hacker News
Share

Key Takeaways

  • Pure Open Source: Cal.diy is a 100% MIT-licensed fork of Cal.com with all enterprise and proprietary code removed.
  • Self-Hosted Only: There is no hosted version; users must manage their own infrastructure, including servers and databases.
  • Non-Production Focus: The project is strictly recommended for personal use and carries a "use at your own risk" warning.
  • Feature Set: Enterprise-only features like SSO/SAML, Teams, Organizations, and Insights are excluded to maintain a lean, open-core-free codebase.

In-Depth Analysis

A Shift to 100% MIT Licensing

Cal.diy represents a significant departure from the "Open Core" model often seen in commercial open-source software. While the original Cal.com includes proprietary enterprise features, Cal.diy is stripped of all commercial dependencies. This ensures that the entire codebase is accessible under the MIT license, removing the need for license keys or Cal.com accounts. It is positioned as a community-maintained alternative for those who prioritize software freedom and want to avoid the split between open and closed-source features.

Technical Requirements and Self-Hosting Responsibilities

Transitioning to Cal.diy requires a high level of technical proficiency. The project documentation emphasizes that self-hosting necessitates advanced knowledge of server administration, database management, and data security. Built with a stack comprising Next.js, tRPC, React.js, Tailwind CSS, Prisma.io, and Daily.co, the platform requires Node.js (v18.x or higher) and PostgreSQL (v13.x or higher). Because there is no managed service, the responsibility for securing sensitive scheduling data rests entirely with the individual user.

Strategic Distinction from Cal.com Enterprise

The developers maintain a clear boundary between Cal.diy and Cal.com's commercial offerings. Cal.diy lacks enterprise-grade tools such as Workflows, Insights, and Organizations. For users requiring commercial-ready or enterprise-ready scheduling infrastructure, the project explicitly directs them toward Cal.com’s hosted or on-premise enterprise solutions. This positioning ensures that Cal.diy serves the hobbyist and individual community without overlapping with the professional requirements of large-scale organizations.

Industry Impact

The release of Cal.diy highlights a growing demand within the open-source community for truly sovereign software that is free from commercial "upselling" tactics. By providing a version of a popular tool that is entirely community-driven and devoid of enterprise hooks, Cal.diy sets a precedent for how commercial open-source projects can offer a "community-first" branch. However, the strict "non-production" warning also underscores the risks associated with community forks that lack the dedicated security and support infrastructure of a commercial entity.

Frequently Asked Questions

Question: How does Cal.diy differ from the standard Cal.com?

Cal.diy is a fork that removes all enterprise-only features such as SSO/SAML, Teams, and Insights. It is 100% MIT-licensed, requires no license key, and is designed exclusively for self-hosting by individuals.

Question: Can I use Cal.diy for my business or enterprise?

The project documentation strictly recommends Cal.diy for personal, non-production use. For commercial or enterprise-ready needs, users are advised to use the official Cal.com hosted or on-premise services.

Question: What are the technical requirements to run Cal.diy?

Users need a server with Node.js (>=18.x) and PostgreSQL (>=13.x). Knowledge of server administration and database management is required as there is no managed version available.

Read Original Article

Related News

Meituan Open Sources LongCat-Video-Avatar 1.5: Transitioning High-Fidelity Digital Humans to Commercial-Grade Applications
Open Source

Meituan Open Sources LongCat-Video-Avatar 1.5: Transitioning High-Fidelity Digital Humans to Commercial-Grade Applications

Meituan's technical team has officially open-sourced LongCat-Video-Avatar 1.5, a state-of-the-art (SOTA) digital human video model that bridges the gap between research-level high-fidelity and commercial-grade usability. This update introduces significant advancements in lip-syncing accuracy, physical plausibility, and long-video stability, ensuring natural and high-quality outputs even in complex commercial scenarios. Furthermore, the model enhances multi-person interaction capabilities and optimizes inference efficiency. By moving beyond experimental environments to support diverse, real-world applications, LongCat-Video-Avatar 1.5 provides a robust solution for generating digital human content at scale. This release marks a pivotal step in making high-quality digital human technology accessible and practical for a wide range of industries, shifting the focus from theoretical performance to reliable, real-world execution.

Meituan Open-Sources LongCat-Flash-Prover to Transition AI from Numerical Guessing to Rigorous Mathematical Theorem Proving
Open Source

Meituan Open-Sources LongCat-Flash-Prover to Transition AI from Numerical Guessing to Rigorous Mathematical Theorem Proving

Meituan's technical team has announced the open-source release of LongCat-Flash-Prover, a specialized model designed to tackle the complexities of mathematical formalization and theorem proving. While traditional AI models often prioritize reaching a correct final numerical value, LongCat-Flash-Prover focuses on the strict logical chains required for formal proofs. The model addresses the inherent risks of ambiguity in natural language, which can cause mathematical proofs to fail. By providing a tool for formalization, Meituan aims to move AI reasoning from heuristic "guessing" toward a more rigorous and verifiable standard of logical demonstration. This release represents a significant step in addressing the challenges of complex reasoning within the AI field, emphasizing the importance of formal structures over simple answer-oriented outputs.

Meituan Open-Sources LongCat-Next: Advancing Physical World AI Through Native Multimodal Vision and Speech
Open Source

Meituan Open-Sources LongCat-Next: Advancing Physical World AI Through Native Multimodal Vision and Speech

Meituan's technical team has announced the official release and open-sourcing of LongCat-Next, a native multimodal model designed to bridge the gap between artificial intelligence and the physical world. By treating vision and speech as "native languages," the model aims to enhance how AI perceives, understands, and interacts with real-world environments. The release includes the core LongCat-Next model and its discrete tokenizer, providing the developer community with the essential tools to build more sophisticated, world-aware applications. This move signifies a strategic step toward embodied intelligence and highlights Meituan's commitment to open-source collaboration in the field of multimodal AI development.