---
title: "Open Source"
description: "568 posts about Open Source, summarised, each linking to the original."
---

# Open Source
> 568 posts about Open Source, summarised, each linking to the original.

## Articles

### [mmBERT: ModernBERT goes Multilingual](https://yomu.fyi/post/mmbert-modernbert-goes-multilingual.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Marc Marone, Orion Weller, William Fleshman, Eugene Yang, Dawn Lawrie, Ben Van Durme
- Published: Sep 9, 2025
- Type: Announcement

mmBERT is a massively multilingual encoder model trained on more than 3T tokens across over 1,800 languages to improve upon existing multilingual architectures like XLM-R. Built upon ModernBERT with a Gemma 2 tokenizer, mmBERT employs a three-phase training curriculum consisting of pre-training on 60 languages, mid-training on 110 languages, and a final decay phase covering 1,833 languages. The training pipeline integrates an inverse mask ratio schedule, dynamic language temperature annealing, and TIES merging across three decay variants. Benchmark evaluations demonstrate strong natural language understanding on English GLUE and multilingual XTREME, as well as competitive retrieval performance on MTEB v2 and CoIR. The release includes standard base and small models alongside open training data and checkpoints.


### [Welcome EmbeddingGemma, Google's new efficient embedding model](https://yomu.fyi/post/welcome-embeddinggemma-google-s-new-efficient-embedding-model.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Tom Aarsen, Joshua, Alvaro Bartolome, Aritra Roy Gosthipaty, Pedro Cuenca, Sergio Paniego
- Published: Sep 4, 2025
- Type: Announcement

Google DeepMind released EmbeddingGemma, a multilingual embedding model with 308 million parameters and a 2048-token context window designed for on-device applications. Based on the Gemma3 transformer backbone, the architecture replaces causal attention with bidirectional attention to function as an encoder, followed by mean pooling and two dense layers producing 768-dimensional vectors. The model incorporates Matryoshka Representation Learning, allowing outputs to be truncated down to 512, 256, or 128 dimensions for reduced memory and storage footprints. Trained on approximately 320 billion multilingual tokens across more than 100 languages, the quantized model operates under 200 MB of RAM. In domain-specific evaluations on the MIRIAD dataset, fine-tuning increased NDCG@10 from 0.8340 to 0.8862, outperforming larger baselines.


### [SAIR: Accelerating Pharma R&D with AI-Powered Structural Intelligence](https://yomu.fyi/post/sair-accelerating-pharma-r-d-with-ai-powered-structural-intelligence.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Arman Zaribafiyan, Georgia Channing, Rudi Plesch, Zane Beckwith
- Published: Sep 2, 2025
- Type: Announcement

SandboxAQ released the Structurally Augmented IC50 Repository (SAIR), an open-source dataset containing 5.24 million computationally co-folded 3D protein-ligand structures paired with empirical IC50 binding potency data. The repository addresses training data scarcity in structure-based drug discovery, where over 40 percent of the included target proteins lack experimental structures in the Protein Data Bank. To construct the dataset, engineers executed over 130,000 GPU hours of the Boltz1 co-folding model on 760 NVIDIA H100 processors hosted via NVIDIA DGX Cloud on Google Cloud Platform. Infrastructure optimizations maintained over 95 percent GPU compute utilization, compressing the generation timeline from three months to three weeks. Quality validation using PoseBusters confirmed that 97 percent of the predicted complexes met physical plausibility and chemical sanity standards.


### [Heroku AI Expands Model Offering with OpenAI’s gpt-oss-120b](https://yomu.fyi/post/heroku-ai-expands-model-offering-with-openai-s-gpt-oss-120b.md)
- Company: [Heroku](https://yomu.fyi/company/heroku.md)
- Author: Anush DSouza
- Published: Aug 20, 2025
- Type: Announcement

Heroku has made OpenAI’s open-weight gpt-oss-120b available through Heroku Managed Inference and Agents, giving developers an OpenAI-compatible chat completions API for compatible SDKs and frameworks. The model uses a Mixture-of-Experts architecture with 117 billion total parameters, activating 5.1 billion per token and enabling operation on a single 80GB GPU; its Apache 2.0 license permits inspection and fine-tuning. It is designed for agentic workflows involving instruction following, function calling, web searches, and Python execution, while reported benchmarks place it near or above several open-weight models and sometimes OpenAI o4-mini. The add-on provides deployment, secure application access, agent actions, monitoring, and scaling without infrastructure management, with pricing of $0.15 per million input tokens and $0.60 per million output tokens.


### [Guardrails for money movement: Integrating Stripe MCP with Portia AI](https://yomu.fyi/post/guardrails-for-money-movement-integrating-stripe-mcp-with-portia-ai.md)
- Company: [Stripe](https://yomu.fyi/company/stripe.md)
- Author: Mounir Mouawad
- Published: Aug 13, 2025
- Type: Tutorial

Portia AI presents a customer-refund agent that combines its guardrails with Stripe’s official Model Context Protocol server. The agent reads a refund request, compares it with a policy file, identifies the relevant Stripe customer and payment intent, and evaluates whether the request should be approved. Portia’s planner produces a multi-agent plan, while execution agents run it and persist outputs in plan state; an execution hook pauses before the Stripe create-refund call. A clarification presents the request and the agent’s rationale to a human, who can approve it in the CLI; approval allows the refund to proceed, while rejection exits without creating one. The example also handles Gmail OAuth and can send the customer an email describing the outcome.


### [MCP UI: Breaking the text wall with interactive components](https://yomu.fyi/post/mcp-ui-breaking-the-text-wall-with-interactive-components.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Aug 5, 2025
- Type: Explainer

Model Context Protocol (MCP) can let AI agents search catalogs, interpret reviews, build carts, and support purchases, but a text-only flow does not provide the visual and interactive details central to commerce. Shopify presents MCP UI as an extension that returns embedded UI resources for components such as product cards, with delivery through inline HTML, remote resources in sandboxed iframes, or Remote DOM. Its intent-based message system keeps components from directly modifying state: actions such as view\_details, checkout, notify, and ui-size-change are surfaced for the agent to interpret, while render data lets hosts provide CSS for adaptive styling. The open-source, deliberately extensible protocol is demonstrated in a Shopify Storefront MCP UI Server prototype and is intended for commerce as well as data visualization, form builders, and media players.


### [Introducing Roast: Structured AI workflows made easy](https://yomu.fyi/post/introducing-roast-structured-ai-workflows-made-easy.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jun 18, 2025
- Type: Announcement

Shopify’s Augmented Engineering Developer Experience team built and open-sourced Roast to make AI-assisted developer workflows more reliable than free-form agents operating across large codebases. Roast is a convention-oriented orchestration framework that combines non-deterministic AI behavior with ordinary code execution through YAML workflows, Markdown prompts, shell commands, Ruby steps, and parallel or conditional control flow. Its shared context, built-in tools, Claude Code integration through CodingAgent, and automatic session replay support workflows that are version-controlled, testable, resumable, and adaptive within defined guardrails. Shopify reports using it to analyze test quality at scale, add Sorbet annotations through the Boba workflow, aggregate competitive intelligence, and research code history, while the project is distributed as a Ruby gem and supports AI providers through Raix.


### [Effortless enterprise authentication at Grab: Dex in action](https://yomu.fyi/post/effortless-enterprise-authentication-at-grab-dex-in-action.md)
- Company: [Grab](https://yomu.fyi/company/grab.md)
- Author: Kah Wei Lee
- Published: May 23, 2025
- Type: Problem & solution

Grab built Concedo to centralise access management, authentication, and authorisation across internal applications and external platforms. Its customised Google OAuth2.0-based mechanism created integration challenges with systems such as Databricks and Datadog, producing fragmented sign-on experiences and administrative overhead. To standardise identity, the team adopted OpenID Connect (OIDC) and used Dex, a federated OpenID Connect provider that aggregates identity providers and issues standardised OIDC tokens. Dex supports single sign-on, multiple identity providers, token delegation between trusted peer services, and a kill switch that can redirect traffic during an identity provider outage. The implementation separated application authentication concerns and established a single identity source, while a future phase will address fragmented authorisation through a unified model.


### [Sharing Tinder’s latest contributions to the open source community](https://yomu.fyi/post/sharing-tinder-s-latest-contributions-to-the-open-source-community.md)
- Company: [Tinder](https://yomu.fyi/company/tinder.md)
- Author: Tinder
- Published: Jan 29, 2025
- Type: Announcement

Tinder open-sourced several iOS development repositories, including Layout, Nodes Architecture Framework, and CombineUI, to share the engineering patterns supporting its iPhone application. As the app expanded across diverse device profiles and scale, engineering teams faced reliability, consistency, and memory challenges under their legacy architecture. In response, Tinder developed Nodes, a plugin-based architecture framework using compile-time dependency injection and lifecycle hooks that enforce complete memory release upon feature dismissal. For interface construction, Tinder created Layout, a domain-specific Auto Layout wrapper offering declarative syntax for UIKit views to eliminate storyboard merge conflicts while preserving native capabilities. The resulting stack enables isolated testing of business logic, native reactive event binding, and incremental adoption of SwiftUI across the codebase.


### [Tophat: Crafting a Delightful Mobile Developer Experience](https://yomu.fyi/post/tophat-crafting-a-delightful-mobile-developer-experience.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Aug 23, 2024
- Type: Problem & solution

Shopify built Tophat to reduce the time and friction involved in manually testing mobile pull requests, where switching branches, stashing changes, and waiting for Xcode or Android Studio builds slowed review. The macOS menu-bar application links GitHub pull requests to iOS and Android artifacts produced by CI and stored in Google Cloud Storage, allowing contributors to install builds on simulators or real devices with one click. Tophat parallelizes tasks such as downloading applications and booting devices, and its Quick Launch feature retrieves builds with up-to-date native code for React Native development. The project also addressed real-device iOS installation and signing challenges, integrated with Shipit Mobile, and provided automated setup guidance. After the latest improvements, daily usage doubled, and Tophat was later made open source.


### [Shipping support for module script integrity in Chrome & Safari](https://yomu.fyi/post/shipping-support-for-module-script-integrity-in-chrome-safari.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Aug 2, 2024
- Type: Announcement

Shopify’s checkout is a managed service requiring control over scripts to support high-performance, PCIv4 DSS-compliant checkout and prevent tampering. SRI could validate top-level resources but did not cover imported JavaScript modules, forcing a shim for dynamic imports that added maintenance and runtime overhead. The work revived Guy Bedford’s proposal to put integrity hashes in import maps, enabling unchanged dynamic imports while also covering static imports, top-level module scripts, and modulepreload. Support shipped in Chromium 127 for Chrome and Edge, and landed in Safari 18’s beta release, with just over two weeks of full-time work and about seven chronological weeks overall.


### [Grab Experiment Decision Engine - a Unified Toolkit for Experimentation](https://yomu.fyi/post/grab-experiment-decision-engine-a-unified-toolkit-for-experimentation.md)
- Company: [Grab](https://yomu.fyi/company/grab.md)
- Author: Ruike Zhang
- Published: Apr 9, 2024
- Type: Problem & solution

Grab's Experimentation platform tests thousands of experimental variants weekly, but analyses were largely handled manually using disparate tools unsuited to multi-sided marketplace nuances. To standardize workflows and eliminate reliability issues, Grab developed the GrabX Decision Engine, an internally open-sourced Python toolkit integrated with its Automated Experiment Analysis application. The framework includes a Trusted Advisor component that automates power analysis and sample size estimation while adjusting for clustered standard errors across metric data types. It also bundles a post-experiment statistical toolbox executing default and custom evaluations, ranging from non-parametric tests to regression models that control for confounders and fixed effects. This unified platform institutionalizes experimentation best practices across teams, streamlining collaboration and ensuring consistent statistical inference.


### [Deploy Your Own (Not) Midjourney Bot on Fly GPUs](https://yomu.fyi/post/deploy-your-own-not-midjourney-bot-on-fly-gpus.md)
- Company: [Fly.io](https://yomu.fyi/company/fly-io.md)
- Published: Jan 4, 2024
- Type: Tutorial

This tutorial builds a Discord image-generation bot that uses Fooocus, an open-source interface for Stable Diffusion, to provide a Midjourney-like /imagine command. It separates the system into a normal Fly Machine running a Python Pycord bot and a GPU Machine running Fooocus-API, with Flycast connecting them over Fly.io’s private network. The bot defers Discord responses, polls for the generated image each second, and uploads the resulting file, while the post notes that this blocking flow will not perform well for hundreds of simultaneous users. Fly GPU rootfs supports the nearly 12GB image, and an L40S setup costs about $3.20/hr when running, with scale-to-zero intended to avoid charges for unused compute. GPU activity is verified with nvidia-smi, and the source code can be extended with additional commands and image-to-image features.


### [The risks of building apps on ChatGPT](https://yomu.fyi/post/the-risks-of-building-apps-on-chatgpt.md)
- Company: [Fly.io](https://yomu.fyi/company/fly-io.md)
- Published: Dec 5, 2023
- Type: Explainer

The post argues that applications with critical AI features should avoid relying on proprietary, externally hosted models such as OpenAI’s ChatGPT and consider self-hosted open source alternatives. It identifies single-provider, regulation or policy, financial, and governance risks, illustrating the first with a Personal AI Fitness Trainer that failed during an OpenAI outage on November 8, 2023. When the AI is the app’s primary value proposition, an outage, changed behavior, denied usage, price increase, or provider leadership crisis can make the service unusable or threaten the business; less-central integrations may instead cause only degraded experience. Self-hosting a model can insulate an application from provider interruptions, licensing or usage-fee changes, regulator- or company-driven behavior changes, and leadership turmoil, while introducing GPU capital and operating costs with rented cloud GPU access available as an alternative to owning GPUs.


### [Introducing Ruvy](https://yomu.fyi/post/introducing-ruvy.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Oct 18, 2023
- Type: Announcement

Ruvy is an open-source toolchain that takes Ruby code as input and produces a WebAssembly module whose exported \_start function executes that code. Built on ruby.wasm, it pre-initializes the Ruby virtual machine and includes Ruby files during the build, while avoiding the need to supply a Ruby script path as a WASI argument at runtime. In Wasmtime benchmarks, Ruvy’s instantiation and \_start execution took about 44.4–45.2 ms, compared with 55.8–56.9 ms for ruby.wasm plus wasi-vfs, and its Wasm-to-native compilation took about 440–457 ms versus 1.62–1.68 seconds. These results correspond to roughly 20% faster runtime performance and about 70% less compilation time in the reported tests. Ruvy currently requires users to install build dependencies and compile it because precompiled binaries are not shipped.


### [Coding the stars - an interactive constellation with Three.js and React Three Fiber](https://yomu.fyi/post/coding-the-stars-an-interactive-constellation-with-three-js-and-react.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: fsansalvadore
- Published: Aug 4, 2023
- Type: Tutorial

The article provides a tutorial for recreating Supabase Launch Week 8’s animated constellation in Next.js with Three.js and React Three Fiber (R3F). Each signup or user-generated ticket becomes a particle shaped into an “8,” with signups loaded from the \`lw8\_tickets\` table and later updates delivered through Supabase Realtime. The scene uses five-sided circle geometry, a white standard material with optional AdditiveBlending, an R3F Canvas, and a camera positioned at \`\[0, 0, 500\]\`. Particle movement is calculated with \`useFrame\`, elapsed time, sine and cosine functions, alternating loop direction, randomized speed and delay, and configurable offsets; a \`dat.gui\` debug mode exposes parameters such as particle count and shape dimensions.


### [Supabase Launch Week 8 Hackathon](https://yomu.fyi/post/supabase-launch-week-8-hackathon.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: ant\_wilson
- Published: Jul 25, 2023
- Type: Announcement

Supabase Launch Week 8 will run an asynchronous hackathon for new Open Source projects that use Supabase in some capacity. The event is listed as starting at 09:00 am PT on Friday 4 August 2023, with the main schedule ending on Sunday 13 August at 11:59 pm PT; the submission instructions separately give a deadline of 11:59 pm PT on Sunday 14 August 2023. Individuals or teams of up to five can build an app, tool, library, or other project in any language or framework, with all design and code created during the event. Judges will award winners and runners-up across five categories, including overall quality, AI use, technical impressiveness, visual appeal, and fun, while submissions must include source code and may earn extra points for a demo video.


### [Contributing support for a Wasm instruction to Winch](https://yomu.fyi/post/contributing-support-for-a-wasm-instruction-to-winch.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jul 18, 2023
- Type: Tutorial

Adding a WebAssembly instruction to Winch, Wasmtime’s baseline non-optimizing compiler, requires coordinated changes across code generation, register management, ISA-specific emission, and tests. The contribution described adds visitor support, delegates through CodeGenContext and MacroAssembler, emits x86\_64 instructions through Cranelift-backed assembler methods, and registers the instruction for differential fuzzing. CodeGenContext keeps the value stack, register allocator, and function frame consistent, while spilling can move values to linear-memory offsets; MacroAssembler handles ISA differences, register constraints, and CPU feature fallbacks such as lzcnt versus bsr-based clz. Filetests inspect generated machine code without executing it, while differential fuzzing compares Winch results with another WebAssembly engine across randomly generated modules and inputs. The workflow also includes running fuzzing, incorporating draft-PR feedback, rebasing, and submitting the public Wasmtime pull request.


### [Supabase Beta June 2023](https://yomu.fyi/post/supabase-beta-june-2023.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: ant\_wilson
- Published: Jul 6, 2023
- Type: Announcement

Supabase’s June 2023 beta update announces product, tooling, authentication, billing, and community developments. Mozilla chose Supabase Vector and OpenAI for AI Help, an AI chatbot that supports search and discovery for MDN, while Supabase Auth added native Sign in with Apple and Google support for one-tap methods including web integrations and Chrome extensions. The Supabase CLI added Dashboard migration visibility with executed SQL, local serving for all Functions, and a usage flag for monitoring key Postgres statistics; Studio also gained usage, overage, plan-limit, subscription, billing, and compute-detail improvements. Other updates include Kakao login, a Realtime Inspector for testing endpoints with JWTs and Row Level Security policies, an object ID in Storage upload responses, OrioleDB parallel index builds, database partitioning guidance, community projects, and an upcoming Launch Week.


### [Supabase Beta May 2023](https://yomu.fyi/post/supabase-beta-may-2023.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: ant\_wilson
- Published: Jun 9, 2023
- Type: Announcement

Supabase’s May 2023 update announces two major product areas: Supabase Vector, an open-source toolkit for storing, indexing, and querying Postgres vector embeddings at scale, and Supabase Vault, a Postgres extension and UI for encrypted secrets and data. Auth Helpers now support client and server use of the Next.js App Router and server-side authentication by default with PKCE. The release also adds Turnstile CAPTCHA support, password reauthentication nonces, Wrappers integrations for Firebase, Stripe, S3, and clickhouse, CLI deployment for all Edge Functions, custom and vanity domains, and generally available Image Transformation. Supabase says it reached 50,000 GitHub stars, while the team solicits Dashboard SQL Editor feedback and reports community projects, AI resources, and a first-ever Flutter Hackathon.


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