{"slug": "vega", "name": "Vega", "category": "dev-libs", "category_name": "Libraries and frameworks", "description": "", "recommenders": 4, "commenters": 6, "warners": 1, "score": 3.047, "rising": 0.02, "first": "2025-12-06", "latest": "2026-08-17", "why": "They should check out Vega \u2013 A Visualization Grammar", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 4, "neutral": 0, "compare": 1, "warn": 1}, "spark": [0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0], "listed": true, "loved": [], "caveat": "", "short_quote": "They should check out Vega \u2013 A Visualization Grammar", "kind": "", "icon": true, "domain": null, "github_repo": "github.com/nandhakishorm/vegaml", "official_url": "https://vega.github.io/vega/", "pricing": "", "aliases": ["Vega"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 789377409, "item_id": 49336088, "url": "https://news.ycombinator.com/item?id=49336088", "by": "jtbaker", "date": "2026-08-17", "version": null, "stance": "recommend", "quote": "I'd suggest looking at https://vega.github.io/vega-lite/ or https://vega.github.io/vega/", "excerpt": "For a schema-first (vs. code first) approach (which I think would be a sweet spot for agent driven dashboarding), I'd suggest looking at https://vega.github.io/vega-lite/ or https://vega.github.io/vega/. A little higher level than full D3 but gives you a little higher level approach.", "context": "", "use_case": "", "switched_from": "", "story": "A Preview of DuckDB v2.0"}, {"id": 786092048, "item_id": 49130753, "url": "https://news.ycombinator.com/item?id=49130753", "by": "kburman", "date": "2026-07-31", "version": null, "stance": "recommend", "quote": "They should check out Vega \u2013 A Visualization Grammar", "excerpt": "They should check out Vega \u2013 A Visualization Grammar - https://vega.github.io/vega/", "context": "", "use_case": "data visualization", "switched_from": "", "story": "Flint: A Visualization Language for the AI Era"}, {"id": 767789440, "item_id": 47986840, "url": "https://news.ycombinator.com/item?id=47986840", "by": "hasyimibhar", "date": "2026-05-02", "version": null, "stance": "recommend", "quote": "they are already quite established with rich ecosystem", "excerpt": "I mean that's what the Vega team is doing no? They are building the standard grammar (Vega-Lite), along with an implementation (Vega). And they are already quite established with rich ecosystem, and supports a ton of components[0]. The only thing missing is that it expects a CSV or inline data source. But it's probably not too hard to build an extension that connects to a data warehouse with an SQL query. [0] https:/", "context": "", "use_case": "", "switched_from": "", "story": "Show HN: DAC \u2013 open-source dashboard as code tool for agents and humans"}, {"id": 765346176, "item_id": 47834136, "url": "https://news.ycombinator.com/item?id=47834136", "by": "zcw100", "date": "2026-04-20", "version": null, "stance": "recommend", "quote": "Don't forget Vega!", "excerpt": "Don't forget Vega! https://vega.github.io/vega/", "context": "", "use_case": "", "switched_from": "", "story": "ggsql: A Grammar of Graphics for SQL"}]}], "caveats": [{"label": "", "summary": "", "quotes": [{"id": 738760544, "item_id": 46172534, "url": "https://news.ycombinator.com/item?id=46172534", "by": "miohtama", "date": "2025-12-06", "version": null, "stance": "warn", "quote": "Vega is a stalled project", "excerpt": "Yes! If you want to get into the deepest detail there are several decentralised perpetual futures exchanges. Here are some open source codebases on Github: https://github.com/vegaprotocol/vega https://github.com/dydxprotocol/v4-chain/ https://github.com/gmx-io/gmx-synthetics https://github.com/0xOstium/smart-contracts-public/ Vega is a stalled project, but they have good documentation: https://docs.vega.xyz/release/c", "context": "", "use_case": "", "switched_from": "", "story": "Perpetual futures, explained"}]}], "who": [], "tags": [], "use_cases": ["data visualization"], "compared": [{"slug": "vega-lite", "name": "Vega-Lite", "co": 2, "switched_from": 0, "switched_to": 0}], "makers": [{"id": 800490048, "item_id": 50030628, "url": "https://news.ycombinator.com/item?id=50030628", "by": "nandakishor_ml", "date": "2026-10-10", "version": null, "stance": "recommend", "quote": "Today I am open-sourcing a new physics-based typed decision model called Vega.", "excerpt": "Around 3 weeks ago introduced Laya, the first open-source version of JEV, and it has reached a very large scale. Today I am open-sourcing a new physics-based typed decision model called Vega. The interesting parts. It is only 800 million parameters (4B is also there), with 73k token support, image support, and surpassing many of the jev benchmarks in single-shot. Implemented an engine+adapter as a Test-Time Training ", "context": "", "use_case": "physics-based decision model", "switched_from": "", "story": null}], "threads": [{"url": "https://news.ycombinator.com/item?id=50030627", "title": "item 50030627", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=49330781", "title": "A Preview of DuckDB v2.0", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=49130604", "title": "Flint: A Visualization Language for the AI Era", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48834924", "title": "Show HN: Microsoft releases Flint, a visualization language for AI agents", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47949066", "title": "Show HN: DAC \u2013 open-source dashboard as code tool for agents and humans", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47833558", "title": "ggsql: A Grammar of Graphics for SQL", "mentions": 1}], "sentiment_by_month": {"2025-11": {}, "2025-12": {"warn": 1}, "2026-01": {}, "2026-02": {}, "2026-03": {}, "2026-04": {"recommend": 1}, "2026-05": {"recommend": 1}, "2026-06": {}, "2026-07": {"compare": 1, "recommend": 1}, "2026-08": {"recommend": 1}, "2026-09": {}, "2026-10": {}}, "versions": [], "version_unnamed": 0, "family_ref": null, "runs_on": null, "lines": [], "quotes": [{"id": 789377409, "item_id": 49336088, "url": "https://news.ycombinator.com/item?id=49336088", "by": "jtbaker", "date": "2026-08-17", "version": null, "stance": "recommend", "quote": "I'd suggest looking at https://vega.github.io/vega-lite/ or https://vega.github.io/vega/", "excerpt": "For a schema-first (vs. code first) approach (which I think would be a sweet spot for agent driven dashboarding), I'd suggest looking at https://vega.github.io/vega-lite/ or https://vega.github.io/vega/. A little higher level than full D3 but gives you a little higher level approach.", "context": "", "use_case": "", "switched_from": "", "story": "A Preview of DuckDB v2.0"}, {"id": 786092048, "item_id": 49130753, "url": "https://news.ycombinator.com/item?id=49130753", "by": "kburman", "date": "2026-07-31", "version": null, "stance": "recommend", "quote": "They should check out Vega \u2013 A Visualization Grammar", "excerpt": "They should check out Vega \u2013 A Visualization Grammar - https://vega.github.io/vega/", "context": "", "use_case": "data visualization", "switched_from": "", "story": "Flint: A Visualization Language for the AI Era"}, {"id": 781372352, "item_id": 48835772, "url": "https://news.ycombinator.com/item?id=48835772", "by": "kveykva", "date": "2026-07-08", "version": null, "stance": "compare", "quote": "Vega was already an expressive DSL for visualizations", "excerpt": "Is there a specific explanation about how this is better or different than vega itself? https://vega.github.io/vega/docs/specification/ My understanding is that Vega was already an expressive DSL for visualizations and its probably already well spread through LLM training data.", "context": "", "use_case": "", "switched_from": "", "story": "Show HN: Microsoft releases Flint, a visualization language for AI agents"}, {"id": 767789440, "item_id": 47986840, "url": "https://news.ycombinator.com/item?id=47986840", "by": "hasyimibhar", "date": "2026-05-02", "version": null, "stance": "recommend", "quote": "they are already quite established with rich ecosystem", "excerpt": "I mean that's what the Vega team is doing no? They are building the standard grammar (Vega-Lite), along with an implementation (Vega). And they are already quite established with rich ecosystem, and supports a ton of components[0]. The only thing missing is that it expects a CSV or inline data source. But it's probably not too hard to build an extension that connects to a data warehouse with an SQL query. [0] https:/", "context": "", "use_case": "", "switched_from": "", "story": "Show HN: DAC \u2013 open-source dashboard as code tool for agents and humans"}, {"id": 765346176, "item_id": 47834136, "url": "https://news.ycombinator.com/item?id=47834136", "by": "zcw100", "date": "2026-04-20", "version": null, "stance": "recommend", "quote": "Don't forget Vega!", "excerpt": "Don't forget Vega! https://vega.github.io/vega/", "context": "", "use_case": "", "switched_from": "", "story": "ggsql: A Grammar of Graphics for SQL"}, {"id": 738760544, "item_id": 46172534, "url": "https://news.ycombinator.com/item?id=46172534", "by": "miohtama", "date": "2025-12-06", "version": null, "stance": "warn", "quote": "Vega is a stalled project", "excerpt": "Yes! If you want to get into the deepest detail there are several decentralised perpetual futures exchanges. Here are some open source codebases on Github: https://github.com/vegaprotocol/vega https://github.com/dydxprotocol/v4-chain/ https://github.com/gmx-io/gmx-synthetics https://github.com/0xOstium/smart-contracts-public/ Vega is a stalled project, but they have good documentation: https://docs.vega.xyz/release/c", "context": "", "use_case": "", "switched_from": "", "story": "Perpetual futures, explained"}]}