Where's Anaconda at these days? I've not touched it since starting out with Python and don't think I've touched it since discovering other package managers.
Anyone here using it regularly in 2025, is there anything I'm missing out on?
Wait, is this anaconda python, my favorite python installation? Oh no, it's now an AI company? Is my favorite python installation going to get enshittified?
Today started with coffee and hopes for a new Jon Voight vehicle in theaters next summer. Now it's coffee and disappointment in yet another AI offering no one asked for.
I work with less technical users and the problem with UV is that the installation instructions are slightly more complicated.
For users that just want conda to download python + a bunch of packages and won't ever bother to create environments, anaconda will always be superior.
Now, if UV bundles with a "default python version" with an installer, that may change things.
Everyone who is comparing Anaconda and conda to Astral and uv is missing that the conda ecosystem is language-agnostic while uv is python specific. uv won't help you install gfortran, for example. It is not a replacement, unless you only do python (and use at most common non-python libraries that are available on PyPI).
On the other hand you don't have to use anything associated with Anaconda to use the conda ecosystem. Alternative package managers like mamba and pixi rely on the conda-forge channel instead. Pixi in particular (https://pixi.sh/) is sort-of the uv for the conda ecosystem workflow-wise, and works pretty well if you want that.
Heh, looks like they've just pivoted to calling what they do advancing AI and managed to mention AI enough times to get a big new valuation.
Seriously, if you've ever used them before, check out their website now. "Advance AI with Clarity and Confidence", "Simplify, safeguard, and accelerate AI value with open source.", "Millions Rely on Anaconda to Advance Their AI Initiatives"
What does any of that mean? No idea, seems like the actual product is the same conda.
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[ 6.1 ms ] story [ 40.7 ms ] threadAhh makes sense now.
Anyone here using it regularly in 2025, is there anything I'm missing out on?
At these valuations you are now all billionaires. You have earned the commas and car doors that open like \__/.
I work with less technical users and the problem with UV is that the installation instructions are slightly more complicated.
For users that just want conda to download python + a bunch of packages and won't ever bother to create environments, anaconda will always be superior.
Now, if UV bundles with a "default python version" with an installer, that may change things.
I cannot imagine using Anaconda with how many issues I had. Virtual Environments have been superior.
Everyone who is comparing Anaconda and conda to Astral and uv is missing that the conda ecosystem is language-agnostic while uv is python specific. uv won't help you install gfortran, for example. It is not a replacement, unless you only do python (and use at most common non-python libraries that are available on PyPI).
On the other hand you don't have to use anything associated with Anaconda to use the conda ecosystem. Alternative package managers like mamba and pixi rely on the conda-forge channel instead. Pixi in particular (https://pixi.sh/) is sort-of the uv for the conda ecosystem workflow-wise, and works pretty well if you want that.
Seriously, if you've ever used them before, check out their website now. "Advance AI with Clarity and Confidence", "Simplify, safeguard, and accelerate AI value with open source.", "Millions Rely on Anaconda to Advance Their AI Initiatives"
What does any of that mean? No idea, seems like the actual product is the same conda.