---
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

### [pg\_graphql: A GraphQL extension for PostgreSQL](https://yomu.fyi/post/pg-graphql-a-graphql-extension-for-postgresql.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Oliver Rice
- Published: Dec 3, 2021
- Type: Announcement

Supabase has open-sourced pg\_graphql, a native PostgreSQL extension written in C and SQL that enables in-database GraphQL schema reflection and query resolution. Because free-tier virtual machines lacked memory headroom for standalone GraphQL processes like Hasura or Graphile, the team designed an in-engine solution to eliminate extra runtime overhead. The extension parses, validates, and transpiles incoming GraphQL operations into single SQL statements that aggregate data into JSON responses. This architecture avoids N+1 query problems, enforces existing row-level security policies, and maps GraphQL requests directly onto PostgreSQL transactions. The public SQL function can be queried directly or exposed over HTTP via PostgREST remote procedure calls.


### [Kicking off the Holiday Hackdays](https://yomu.fyi/post/kicking-off-the-holiday-hackdays.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Thor Schaeff
- Published: Dec 3, 2021
- Type: Announcement

Supabase has launched Holiday Hackdays, a ten-day virtual hackathon running from December 3rd to December 12th. The event invites participants to build open-source projects using Supabase features, following the recent introduction of row-level security for the Realtime API. Teams of one to five developers may build applications using any programming language or framework provided the code and design elements are created during the hackathon. Submissions will be evaluated on criteria such as inventiveness, technical execution, visual polish, and Supabase integration, with prizes dedicated to Realtime API usage and holiday-themed concepts. Members of the Supabase team will also take part by developing an open-source advent calendar showcasing community content.


### [Supabase acquires Logflare](https://yomu.fyi/post/supabase-acquires-logflare.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Paul Copplestone
- Published: Dec 2, 2021
- Type: Announcement

Supabase announced the acquisition of Logflare, a realtime log ingestion and analytics platform. Modern database architectures encompass APIs, authentication, storage, and CDNs, requiring unified observability to diagnose slow queries and trace user requests effectively. Built with Elixir—the same language powering Supabase's Realtime Engine—Logflare automates schema adaptation for streaming inserts and enables developers to construct APIs from SQL queries via Logflare Endpoints. The integration roadmap includes embedding log querying with SQL directly into the Supabase Dashboard, maintaining existing integrations for Vercel and Cloudflare, and transitioning Logflare toward a fully open-source implementation with multiple backend storage engines. Over the coming months, existing Logflare users will be migrated to the Supabase platform under matching pricing tiers.


### [Introducing Snowball Fight ☃️, our first ML-Agents environment](https://yomu.fyi/post/introducing-snowball-fight-our-first-ml-agents-environment.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Thomas Simonini
- Published: Dec 2, 2021
- Type: Announcement

Hugging Face has released Snowball Fight 1vs1, its first custom Deep Reinforcement Learning environment created using the Unity Machine Learning Agents Toolkit. The game enables players to shoot snowballs against a trained agent and is hosted on Hugging Face Spaces. This release marks the beginning of an effort to build an ecosystem for Deep Reinforcement Learning researchers and enthusiasts using Unity ML-Agents. The initiative focuses on building open-source environments, hosting models and training environments on the Hugging Face Hub, and deploying interactive demos via Spaces. Future plans include publishing technical tutorials, releasing additional environments, and developing a Snowball Fight 2vs2 version that utilizes the MA-POCA algorithm to train cooperative team behaviors.


### [Remote rendering: Shopify’s take on extensible UI](https://yomu.fyi/post/remote-rendering-shopify-s-take-on-extensible-ui.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Dec 1, 2021
- Type: Explainer

Shopify describes a UI extension architecture designed to give third-party code consistent, accessible, cross-platform experiences without allowing it to compromise the host application. Its remote-rendering approach separates UI definition from rendering, with extensions communicating with hosts through MessageChannel-based message passing; hosts are implemented in JavaScript, Kotlin, and Swift. The open-source remote-ui library supplies RPC for passing callbacks across postMessage, automatic memory management, a DOM-like RemoteRoot that serializes updates as JSON, and receivers that map remote components to DOM or React components. A sandbox isolates untrusted extension code and controls exposed APIs across web workers, Android web views, and iOS JsCore. The system powers product-subscription and post-purchase extensions, while a DOM-based version began releasing in July 2025.


### [Supabase Studio](https://yomu.fyi/post/supabase-studio.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Paul Copplestone
- Published: Nov 30, 2021
- Type: Announcement

Supabase has released Supabase Studio, making the web dashboard used on its hosted platform available for local development and self-hosted environments. The dashboard originally existed within a single internal monorepo alongside cloud infrastructure, but managing split repositories and code synchronization significantly slowed down production release cycles. To streamline development, the team unified the frontend into a single open-source codebase modeled after Sentry's shared architecture strategy. Built with Next.js, Tailwind CSS, Supabase UI, and MobX, the application works directly with existing deployments across Docker and the Supabase CLI. The open-source release focuses strictly on database management features, including SQL editors, role policies, and extensions, while excluding cloud project administration.


### [Getting Started with Hugging Face Transformers for IPUs with Optimum](https://yomu.fyi/post/getting-started-with-hugging-face-transformers-for-ipus-with-optimum.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Tim Santos, Julien Simon
- Published: Nov 30, 2021
- Type: Tutorial

Transformer prediction speed can hinder latency-sensitive workloads like conversational systems and search, while optimizing hardware performance requires significant effort. Hugging Face introduced Optimum, an open-source library that reduces Transformer model latency across diverse hardware targets. Through a partnership with Graphcore, BERT is introduced as the initial IPU-optimized model for parallel AI hardware. Developers configure the Poplar SDK environment and PopTorch inside Graphcloud, install optimum-graphcore, and execute the run\_qa.py script with an IPU configuration file. Fine-tuning bert-base-uncased on SQuAD v1.1 using the IPUTrainer class yields an evaluation F1 score of 88.2757 and an exact match score of 80.6623 across 10,784 evaluation samples.


### [Community Day](https://yomu.fyi/post/community-day.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Thor Schaeff
- Published: Nov 29, 2021
- Type: Announcement

Supabase kicked off its Launch Week by showcasing integrations, ecosystem updates, and community contributions across its open-source stack. The platform announced that all hosted projects are upgrading to PostgREST 9, introducing inner joins, functions with unnamed parameters, and PostgreSQL 14 compatibility. Through community contributions, Supabase expanded authentication options to include Slack, Spotify, and MessageBird alongside existing providers. Updates to the Python ecosystem include package renaming to supabase, synchronous operation support in postgrest-py, and a rewritten gotrue-py matching JavaScript feature parity. Additionally, Supabase partnered with GitGuardian to automate secret detection and remediation across development lifecycles, protecting sensitive database service role keys.


### [Introducing the Data Measurements Tool: an Interactive Tool for Looking at Datasets](https://yomu.fyi/post/introducing-the-data-measurements-tool-an-interactive-tool-for-looking.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Sasha Luccioni, Yacine Jernite, Margaret Mitchell
- Published: Nov 29, 2021
- Type: Announcement

Hugging Face released an open-source Python library and no-code interface named the Data Measurements Tool to calculate metrics for responsible dataset curation. In AI development, scraped data often enters training pipelines without detailed analysis of representation or downstream model influence, partly because querying raw datasets typically requires complex coding. Built using Hugging Face Dataset and Spaces Hubs alongside Streamlit, the tool provides descriptive, distributional, and comparison statistics. It computes missing values, vocabulary sizes, duplicate counts, label distributions, and Zipf's law adherence to identify unnatural language patterns or markup artifacts. Additionally, it offers embedding clusters via a Sentence-Transformer model and normalized pointwise mutual information metrics across gender and sexual orientation identity terms.


### [New in PostgreSQL 14: What every developer should know](https://yomu.fyi/post/new-in-postgresql-14-what-every-developer-should-know.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Gurjeet Singh
- Published: Nov 28, 2021
- Type: Explainer

PostgreSQL 14 introduces several enhancements to improve application performance, data manipulation, query troubleshooting, and database security. Developers can traverse nested JSON data structures using subscripting and store noncontiguous values using multirange data types in single operations. Applications relying on libpq can leverage client-side query pipelining to send multiple queries across high-latency networks without waiting for individual responses, while parallel execution now supports foreign data wrappers, parallel sequential scans, and materialized view refreshes. For observability, query IDs are integrated into live execution tracking via pg\_stat\_activity, EXPLAIN VERBOSE outputs, and log files. Security upgrades include predefined read-only roles such as pg\_read\_all\_data alongside SCRAM-SHA-256 enabled as the default authentication mechanism.


### [PostgREST 9](https://yomu.fyi/post/postgrest-9.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Steve Chavez
- Published: Nov 27, 2021
- Type: Announcement

PostgREST 9 introduces several core updates to the tool that turns PostgreSQL databases into RESTful APIs. Developers can now perform inner joins when embedding tables using the !inner keyword, allowing top-level table rows to be filtered directly by embedded table attributes across multiple operators. The release also adds support for POST requests to functions containing a single unnamed parameter, which simplifies handling raw JSON payloads sent by external webhooks. To ensure compatibility with PostgreSQL 14, custom authentication functions accessing HTTP context headers and JWT claims must be updated to parse JSON properties from consolidated settings. Additional enhancements included in this version provide support for partitioned tables alongside documentation improvements and bug fixes.


### [How we launch at Supabase](https://yomu.fyi/post/how-we-launch-at-supabase.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Ant Wilson
- Published: Nov 26, 2021
- Type: Explainer

Following their participation in YCombinator, Supabase sought a structured method to maintain product momentum and recreate the urgency of an accelerator internally. The team established Launch Week, a quarterly shipping sprint using a fixed-timeline and flexible-scope model where a major feature or announcement releases each day for a week. Each cycle begins with a broad distributed planning session that maps high-level goals and generates ideas, followed by execution and finely scheduled launch days covering coordinated social media, blog posts, and community engagement. Following the launch, team members transition into maintenance mode and downtime to handle support, bug fixes, and open-source contributions. Finally, a structured retrospective evaluates successes, failures, and process relevance before carrying lessons into the next planning meeting.


### [Supabase Launch Week III: Holiday Special](https://yomu.fyi/post/supabase-launch-week-iii-holiday-special.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Paul Copplestone
- Published: Nov 26, 2021
- Type: Announcement

Supabase organized Launch Week III: Holiday Special from November 29 to December 3, 2021, delivering daily product releases, tooling improvements, and ecosystem announcements. The week began with Community Day to showcase external contributions and open source tooling utilized by the team. On Tuesday, Supabase released Supabase Studio, allowing engineers to utilize the official platform management dashboard in self-hosted configurations and local development workflows. Midweek releases included the rollout of Realtime Row Level Security on Wednesday, followed immediately by Thursday's announcement detailing the acquisition of Logflare. The five-day launch series concluded on Friday with a final batch of five distinct feature announcements across the Supabase platform.


### [Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers](https://yomu.fyi/post/fine-tune-xlsr-wav2vec2-for-low-resource-asr-with-transformers.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Patrick von Platen
- Published: Nov 15, 2021
- Type: Tutorial

Fine-tuning the multilingual XLS-R speech model adapts pretrained cross-lingual audio representations to automatic speech recognition tasks with limited labeled data. The demonstration configures a Wav2Vec2-XLS-R-300M checkpoint using Connectionist Temporal Classification on roughly four hours of validated Turkish audio from Common Voice. Building the pipeline requires pairing a Wav2Vec2FeatureExtractor for audio signals with a custom Wav2Vec2CTCTokenizer derived from dataset transcriptions. Training with Hugging Face Trainer over 3,200 steps decreases the validation word error rate from 0.7000 down to 0.3195. While the resulting transcription demonstrates recognizable phonetic alignment, output quality can be further improved by extending training schedules, refining preprocessing, and adding language model decoding.


### [Supabase Beta October 2021](https://yomu.fyi/post/supabase-beta-october-2021.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Paul Copplestone
- Published: Nov 7, 2021
- Type: Announcement

Supabase announced its October 2021 beta release, introducing three new authentication providers for Slack, Spotify, and MessageBird phone logins. The platform rolled out database multi-schema support, enabling users to browse different database schemas directly within the Dashboard interface and query them through the PostgREST API after enabling schema access. Documentation and instructional resources were expanded to cover PostgreSQL functions, authentication server-side functions, RedwoodJS quickstarts, self-hosting architectures, and production readiness checklists. In addition to ecosystem releases such as supabase-py v0.0.3, nuxt-supabase v2.2.1, and vue-supabase v2.2.3, the project reached over 21,268 GitHub stars. The team also announced Launch Week III: The Trilogy, set to begin on November 29th on Discord.


### [Scaling up BERT-like model Inference on modern CPU  - Part 2](https://yomu.fyi/post/scaling-up-bert-like-model-inference-on-modern-cpu-part-2.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Ella Charlaix, Jeff Boudier, Morgan Funtowicz, Michael Benayoun
- Published: Nov 4, 2021
- Type: Problem & solution

Scaling transformer inference on modern CPUs requires coordinating hardware capabilities with software optimizations across memory allocation, parallel execution, and mathematical kernel libraries. Intel Ice Lake Xeon processors deliver up to seventy-five percent faster inference across natural language processing tasks compared to Cascade Lake by combining Sunny Cove architecture improvements with dedicated extensions like Intel Extension for PyTorch. Fine-tuning software knobs such as alternative allocators, threading runtimes like Intel OpenMP, and core allocations can involve thousands of possible configuration combinations. Rather than evaluating these combinations through exhaustive brute force, Bayesian optimization via Intel SigOpt achieves comparable latency within roughly twenty trials and reveals experiment-dependent parameter importance. These software tuning strategies enable low-latency production transformer serving without dedicated accelerators.


### [Supabase $30m Series A](https://yomu.fyi/post/supabase-30m-series-a.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Paul Copplestone
- Published: Oct 28, 2021
- Type: Announcement

Supabase announced a $30 million Series A funding round led by Coatue, bringing its total funding to $36 million. The company aims to provide an open source alternative to Firebase while addressing the scalability limitations typical of abstracted database platforms. Rather than building a compatibility layer, Supabase provisions a full PostgreSQL database for every project alongside integrated authentication, storage, RESTful APIs, and realtime data streaming. Platform features rely directly on core PostgreSQL primitives, including Row Level Security policies, database triggers, and logical replication streams. Funding will support long-term development of a cloud-native PostgreSQL platform offering database branching, distributed read-write nodes, scalable storage, and ephemeral compute that scales down to zero.


### [Course Launch Community Event](https://yomu.fyi/post/course-launch-community-event.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Sylvain Gugger
- Published: Oct 26, 2021
- Type: Announcement

Hugging Face scheduled the release of Part 2 of its machine learning course for November 15th alongside a collaborative community event. While Part 1 covered text classification and Model Hub uploads, Part 2 expands into token classification, causal and masked language modeling, translation, summarization, question answering, and ecosystem tools like Datasets and Tokenizers. The event includes two days of technical talks from industry practitioners covering transfer learning, ethics in machine learning development, and workflows across Keras, PyTorch, and TensorFlow. Participants collaborate on team projects to fine-tune natural language processing models and develop interactive portfolio demos, with AWS supplying complimentary compute through Amazon SageMaker. Attendees who successfully complete and demonstrate a project receive a certificate of completion.


### [Train a Sentence Embedding Model with 1B Training Pairs](https://yomu.fyi/post/train-a-sentence-embedding-model-with-1b-training-pairs.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Antoine SIMOULIN
- Published: Oct 25, 2021
- Type: Announcement

Sentence embeddings map sentences into dense vectors to capture semantic meaning for downstream tasks such as clustering, asymmetric question answering, and text search. To train general-purpose models at scale, the team utilized a dataset compiled from multiple sources containing up to one billion sentence pairs. Training leveraged contrastive learning with Multiple Negative Ranking Loss and in-batch negatives, running across seven TPU v3-8 accelerators with JAX and Flax. Batches combined samples from at least two datasets to balance hard negatives within topics against broader cross-topic semantic structure. The project resulted in twenty trained models—including variants of RoBERTa, DistilBERT, and MPNet—alongside eight specialized evaluation datasets and an interactive demo covering sentence similarity, search, and gender bias.


### [Hacktoberfest Hackathon Winners 2021](https://yomu.fyi/post/hacktoberfest-hackathon-winners-2021.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: Thor Schaeff
- Published: Oct 14, 2021
- Type: Announcement

The organizers of the second open-source Hacktoberfest Hackathon announced the top ten projects across five distinct categories, selecting a winner and runner-up for each. Awarded projects include Pickle, a privacy-focused developer analytics service featuring realtime event synchronization, and CourseBuddy, a collaborative study platform for students. Other winning entries encompass the Feedback widget for sentiment collection, a utility management Flutter application, and Spookd, a Halloween-themed game built with Framer and connected to Supabase. Runner-up projects feature tools such as og:supa for generating Open Graph preview images, Relm for community management, Party Parrot as a Service, the TLWR path logger for Flutter, and the uwudaily mood-logging website. All winners receive custom gold medal shirts, runners-up receive silver medal shirts, and every participant receives a limited-edition participation tee.


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