{"slug": "conda", "name": "Conda", "category": "dev-libs", "category_name": "Libraries and frameworks", "description": "", "recommenders": 1, "commenters": 6, "warners": 2, "score": 0.062, "rising": -0.33, "first": "2025-11-18", "latest": "2026-09-18", "why": "", "why_is_quote": false, "has_verdict": false, "sentiment": {"recommend": 1, "neutral": 3, "compare": 0, "warn": 2}, "spark": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], "listed": false, "loved": [], "caveat": "", "short_quote": "", "icon": false, "domain": null, "github_repo": null, "official_url": "", "pricing": "", "aliases": ["Conda", "conda"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 759698337, "item_id": 47481146, "url": "https://news.ycombinator.com/item?id=47481146", "by": "roflcopter69", "date": "2026-03-22", "stance": "recommend", "quote": "+1 for Conda.", "excerpt": "+1 for Conda. I also have to mention pixi (https://github.com/prefix-dev/pixi) which kinda is a uv for the Conda ecosystem. Highly recommend!", "context": "", "use_case": "Python dependencies with binary deps", "switched_from": "", "story": "Thoughts on OpenAI acquiring Astral and uv/ruff/ty"}]}], "caveats": [{"label": "", "summary": "", "quotes": [{"id": 742435698, "item_id": 46402231, "url": "https://news.ycombinator.com/item?id=46402231", "by": "optionalsquid", "date": "2025-12-27", "stance": "warn", "quote": "as a much nicer/saner alternative to conda", "excerpt": "You could use pixi instead, as a much nicer/saner alternative to conda: https://pixi.sh Though in this particular case, you don't even need conda. You just need python 3.13 and a virtual environment. If you have uv installed, then it's even easier: git clone https://github.com/apple/ml-sharp.git cd ml-sharp uv sync uv run sharp", "context": "", "use_case": "Python environment management", "switched_from": "", "story": "Apple releases open-source model that instantly turns 2D photos into 3D views"}, {"id": 737232305, "item_id": 46077019, "url": "https://news.ycombinator.com/item?id=46077019", "by": "bmacho", "date": "2025-11-28", "stance": "warn", "quote": "Jupyter+conda/anaconda is almost always not installable and broken for most of its kernels", "excerpt": "When I was toying with Haskell I was unable to get GHCi to interpret multiline definitions (Haskell is declarative, which means you don't make commands, but you declare commands which then get executed). Jupyter+conda/anaconda is almost always not installable and broken for most of its kernels (it was for Haskell), so I ended up piping GHCi to a websocket server that I found on GitHub and a minimal HTML/JS frontend t", "context": "", "use_case": "", "switched_from": "", "story": "Comparing xeus-Haskell and ihaskell kernels"}]}], "who": [{"by": "jacobtomlinson", "context": "author of a post on Python package managers", "url": "https://news.ycombinator.com/item?id=45968346", "date": "2025-11-18"}], "tags": [], "use_cases": ["python environments", "python dependencies with binary deps", "python environment management", "python package management"], "compared": [{"slug": "uv", "name": "uv", "co": 8, "switched_from": 0, "switched_to": 1}, {"slug": "pixi", "name": "pixi", "co": 5, "switched_from": 0, "switched_to": 0}, {"slug": "pip", "name": "pip", "co": 2, "switched_from": 0, "switched_to": 0}], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=49746290", "title": "Flet 1.0 \u2013 Build cross-platform apps in Python", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=49712041", "title": "Java 27", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47443675", "title": "Thoughts on OpenAI acquiring Astral and uv/ruff/ty", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=46401539", "title": "Apple releases open-source model that instantly turns 2D photos into 3D views", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=46054661", "title": "Comparing xeus-Haskell and ihaskell kernels", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=45968309", "title": "Python package managers: uv vs. pixi?", "mentions": 1}], "sentiment_by_month": {"2025-11": {"neutral": 1, "warn": 1}, "2025-12": {"warn": 1}, "2026-01": {}, "2026-02": {}, "2026-03": {"recommend": 1}, "2026-04": {}, "2026-05": {}, "2026-06": {}, "2026-07": {}, "2026-08": {}, "2026-09": {"neutral": 2}, "2026-10": {}}, "quotes": [{"id": 796066209, "item_id": 49754138, "url": "https://news.ycombinator.com/item?id=49754138", "by": "skeledrew", "date": "2026-09-18", "stance": "neutral", "quote": "conda kept as fallback", "excerpt": "This sounds like my experience switching from conda to uv. The speed seriously blew my mind, and sometimes still does today. But then I think about the tradeoffs: I've encountered issues with uv-packaged Python because they've optimized the heck out of it, like a few months ago I was working with tkinter and things were failing hard on ways I couldn't understand, then I switched to conda for those projects and... thi", "context": "", "use_case": "Python environments", "switched_from": "", "story": "Flet 1.0 \u2013 Build cross-platform apps in Python"}, {"id": 795630994, "item_id": 49726937, "url": "https://news.ycombinator.com/item?id=49726937", "by": "PaulHoule", "date": "2026-09-16", "stance": "neutral", "quote": "so I don't use conda", "excerpt": "Well Java has a kind of xenophobia that really resists bringing in foreign code but Python is at it's best when it accesses wrappers around C and Fortran. I used conda back in that period, it had a correct solver, and it was easy to manage my own packages, but it was slow in the technical sense of \"it takes forever to build an environment\" and slow in the business sense in that you got something curated which was not", "context": "", "use_case": "Python environments", "switched_from": "", "story": "Java 27"}, {"id": 759698337, "item_id": 47481146, "url": "https://news.ycombinator.com/item?id=47481146", "by": "roflcopter69", "date": "2026-03-22", "stance": "recommend", "quote": "+1 for Conda.", "excerpt": "+1 for Conda. I also have to mention pixi (https://github.com/prefix-dev/pixi) which kinda is a uv for the Conda ecosystem. Highly recommend!", "context": "", "use_case": "Python dependencies with binary deps", "switched_from": "", "story": "Thoughts on OpenAI acquiring Astral and uv/ruff/ty"}, {"id": 742435698, "item_id": 46402231, "url": "https://news.ycombinator.com/item?id=46402231", "by": "optionalsquid", "date": "2025-12-27", "stance": "warn", "quote": "as a much nicer/saner alternative to conda", "excerpt": "You could use pixi instead, as a much nicer/saner alternative to conda: https://pixi.sh Though in this particular case, you don't even need conda. You just need python 3.13 and a virtual environment. If you have uv installed, then it's even easier: git clone https://github.com/apple/ml-sharp.git cd ml-sharp uv sync uv run sharp", "context": "", "use_case": "Python environment management", "switched_from": "", "story": "Apple releases open-source model that instantly turns 2D photos into 3D views"}, {"id": 737232305, "item_id": 46077019, "url": "https://news.ycombinator.com/item?id=46077019", "by": "bmacho", "date": "2025-11-28", "stance": "warn", "quote": "Jupyter+conda/anaconda is almost always not installable and broken for most of its kernels", "excerpt": "When I was toying with Haskell I was unable to get GHCi to interpret multiline definitions (Haskell is declarative, which means you don't make commands, but you declare commands which then get executed). Jupyter+conda/anaconda is almost always not installable and broken for most of its kernels (it was for Haskell), so I ended up piping GHCi to a websocket server that I found on GitHub and a minimal HTML/JS frontend t", "context": "", "use_case": "", "switched_from": "", "story": "Comparing xeus-Haskell and ihaskell kernels"}, {"id": 735493538, "item_id": 45968346, "url": "https://news.ycombinator.com/item?id=45968346", "by": "jacobtomlinson", "date": "2025-11-18", "stance": "neutral", "quote": "For Python package management I use a mixture of pixi, uv and conda depending on the task I'm doing.", "excerpt": "Author of the post here. For Python package management I use a mixture of pixi, uv and conda depending on the task I'm doing. I wrote up a long form post about the history of these tools, why each one exists, and why I settled on these choices in my workflow. I hope this is interesting to folks who want to learn more about why Python package tooling is so fragmented!", "context": "author of a post on Python package managers", "use_case": "Python package management", "switched_from": "", "story": "Python package managers: uv vs. pixi?"}]}