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.
matrss · 5h ago
Anaconda != the conda ecosystem != Python
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.
lvl155 · 4h ago
And how many people (count them with fingers) use Conda for anything other than Python? It’s a bloatware. People stopped using Conda because these people kept making the bloat worse.
matrss · 3h ago
A single one of the gfortran packages released about 20 hours ago already has 362 downloads, so I think it is safe to say that the non-python users of conda-forge are more than just a handful.
If you don't need it that's fine, no one is stopping you from using PyPI and uv instead. But for some that is not a replacement.
And yes, some things about conda(-forge) could be described as bloated. I particularly dislike the convoluted packaging process.
It is always tradeoffs and deciding based on your own use cases. E.g. if you want to distribute tested packages to users of your software then both conda-forge and PyPI are ill-suited for you. They (and most other package managers) do install-time dependency resolution, so the installation cannot be guaranteed to be tested as working at all. Some package managers do that better, so is conda-forge and PyPI obsolete now?
lvl155 · 3h ago
See, why are you adding forge in there? Why do you think forge exists?
matrss · 3h ago
What does it change? Conda-forge users are users of the conda ecosystem. You suggested there is only a handful of those that use it not for python, I provided a counter point.
Or did I misunderstand you and what you meant with "conda" was either anaconda, or conda-the-software? But then the comment about Python doesn't make much sense.
throwaway3646 · 5h ago
If you are in a commercial environment, I can only warn to think that using alternative conda clients will be safe. Condaforge for instance will happily download from the main channel if the recipe requires it. It's pretty hard to make sure this does not happen, best solution is to block access on a network level.
matrss · 5h ago
Do you have an example for a package on conda-forge that actually does this? I can only find a vague announcement from 2021 that the "defaults channel is now dropped when building conda-forge packages", as well as statements that the conda-forge repositories are considered incompatible with the defaults channel and having both enabled is an unsupported configuration. Access is blocked on the network level anyway.
legobmw99 · 5h ago
That can only happen if you as a user have the 'defaults' channel still configured as available, and conda-forge considers it a user error whenever this happens (the official line is `conda-forge is incompatible with the packages provided in defaults`). Many bug reports are closed simply by telling the user to fix their channel priorities and stop mixing the two
throwaway3646 · 5h ago
Correct, it's a user error, but in a corporate environment, this happens. Many scientists have their own recipes and you can't catch them all.
matrss · 4h ago
So with a fresh installation of one of those alternative conda clients and no user intervention it won't happen, right? On top of that you can block access on the network level as well.
Sure, when your employees are outside of the corporate network they can still download stuff from the default channels, but in the end it is no different than any other license violation they could do. At least with Anaconda there is a semi-effective fix.
igortg · 5h ago
I use Miniforge in a commercial environment and never found a package downloading from the main channel. I'm pretty sure a recipe that does that would be blocked by conda-forge reviewers.
benreesman · 6h ago
Going up against Astral in 2025 with conda's stack is feeding 150MM directly into a furnace.
simpaticoder · 5h ago
Astral's uv is an impressive, ultra-fast Python package manager that’s rapidly clearing up the pip/virtualenv/poetry mess and setting a new bar for dx. However, Astral is a startup with an unclear path to monetization, whereas Anaconda is a mature company focused on enterprise AI/ML offerings and long-term customer relationships, with conda being just one part of their broader stack. It’s entirely plausible for Anaconda to adopt tools like uv. Comparing Astral and Anaconda directly overlooks their vastly different missions and scales—uv’s technical leap could help unify Python tooling, but Anaconda addresses a different problem.
benreesman · 4h ago
I'm saying when you compare the resources that have gone in vs. the results that have come out the other side?
Putting these two teams up against one another isn't even fair: its like pushing baby chicks into a pond full of Piranhha fish.
It's not just a package manager: uv and ruff and tye are rapidly becoming an ecosystem. You think they don't have plans for Jupyter?
Google was a tiny company without a monetization strategy. Yahoo being gigantic and "divetsified" just made them a tastier meal for a different breed of competition.
QuadrupleA · 5h ago
$50m more than Oxide Computer, a company actually building something, just raised. For what exactly? A free python distro, doing some vague AI pivot?
gonzalohm · 5h ago
For people asking who uses Anaconda nowadays.
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.
insane_dreamer · 5h ago
the other use case is if your env requires compiled binaries, you can't do that with uv. i.e., the Intel MKL package is available on conda but not on pypi. We've also run into this with some cuda related packages.
specproc · 6h ago
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?
zubiaur · 6h ago
Everywhere where they may be a shadow data science team. And that's how they get you. One has to be very careful to install the Open Source portions. They make no effort to make the boundary obvious. If one does not, IT will get a call asking for licensing money.
gonzalohm · 5h ago
How are they going to find out though?
zubiaur · 5h ago
They have a form where they ask for an email before giving the download link. My guess is that + a bit of telemetry.
throwaway3646 · 5h ago
This will also happen if you use condaforge, which can be downloaded freely. Condaforge will also download from the main channel if the recipe requires it.
throwaway3646 · 5h ago
By checking IP, I'm guessing
throwaway3646 · 5h ago
Can confirm, this is exactly what happened. They demand ridiculous back payments unless you buy multiple-year licenses. It would be trivial for them to require an account to use the main channel, but they deliberately make it easy to accidentally use it. If you have to use it, make sure to DNS block anaconda.com (.org seems to be fine), but even better, just avoid them like the plague.
MengerSponge · 5h ago
Anaconda sells a managed environment for data science applications, right? Basically the Red Hat business model?
I've used conda for years and haven't set aside the day it'll take to switch to something simple and modern (uv's top of the list, but I'm open to suggestions)
blitzar · 5h ago
use uv, you dont need to bin your existing installation (it just wont get used anymore) and it will take you 5 minutes to switch. next time you get new hardware you wont bother installing anything else python related.
specproc · 5h ago
Heh, like I'm still holding on to pip. uv looks fab, really need to give it a go.
esseph · 5h ago
Just add 'uv' in front of your pip commands, that's how it's called anyway
myth_drannon · 5h ago
Setting up a python environment for ML work (pytorch + Nvidia) is simpler with Anaconda, it's a pure dependency nightmare doing it with something else.
Balinares · 4h ago
Counterpoint: conda is a constant, neverending source of pure dependency nightmares here, that consistently costs us a two-digit percentage of velocity. I'm glad it's working for you, but I really wouldn't generalize. Or recommend it to anyone getting into Python. Use uv, new people, for real.
specproc · 5h ago
Yeah, I remember finding that the case for a while. I can't remember when things clicked and it was fine without. I moved to arch a while back, perhaps then.
SJC_Hacker · 5h ago
Docker
blitzar · 6h ago
> This news comes on the heels of Anaconda’s newly launched AI Platform
Ahh makes sense now.
andrepd · 4h ago
The efficient hand of capitalism at work once again allocating capital to the most effective endeavours.
datadrivenangel · 5h ago
Anaconda has 150mm in annual recurring revenue? That's excellent news. It'll be interesting to see how this investment helps them grow.
huntertwo · 5h ago
Is it just me or is trivial software getting overfunded? How does an AI skin on vscode or conda have a big enough moat for these crazy rounds?
wrsh07 · 5h ago
Anaconda makes less sense to me, but cursor does have revenue numbers. I haven't seen them so I'm not sure if they look good (we use API keys with cursor so I'm pretty sure they get pure saas margins from us)
I would also venture to guess that cursor is a somewhat nontrivial modification to vscode at this point.
blitzar · 5h ago
Congratulations to Astral (makers of uv).
At these valuations you are now all billionaires. You have earned the commas and car doors that open like \__/.
mcintyre1994 · 5h ago
Unfortunately they've made the mistake of calling their Python package manager a Python package manager, rather than the secret to advancing AI.
p1esk · 5h ago
What is their revenue?
blitzar · 5h ago
They're a pure pre revenue play.
p1esk · 3h ago
Do you think Anaconda founders will ever become billionaires? If not, why would you expect it for Astral founders?
ratelimitsteve · 6h ago
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.
insane_dreamer · 5h ago
other than having "AI" in the name, I didn't see anything about its "AI Platform" that's actually AI in a meaningful way
resource_waste · 5h ago
150M from people who never used Anaconda...
I cannot imagine using Anaconda with how many issues I had. Virtual Environments have been superior.
lotsalaser · 6h ago
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?
scblock · 6h ago
That happened last year, when they changed their license terms and started shaking people down for money. I wouldn't touch it.
Last year is just when they started being honest about it. Before then they left their terms intentionally ambiguous, then shook people down anyway.
lotsalaser · 5h ago
Good eye. I would not have noticed if the terms changed，even with all of those articles. Is there a good replacement?
kitchi · 5h ago
micromamba + conda-forge does the job really well. All open source and community supported, and none of the licensing drama.
In my experience uv (haven't tried astral) doesn't quite fill the same niche, especially if compiled packages from other languages are necessary for your workflow (libboost for example)
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.
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.
If you don't need it that's fine, no one is stopping you from using PyPI and uv instead. But for some that is not a replacement.
And yes, some things about conda(-forge) could be described as bloated. I particularly dislike the convoluted packaging process.
It is always tradeoffs and deciding based on your own use cases. E.g. if you want to distribute tested packages to users of your software then both conda-forge and PyPI are ill-suited for you. They (and most other package managers) do install-time dependency resolution, so the installation cannot be guaranteed to be tested as working at all. Some package managers do that better, so is conda-forge and PyPI obsolete now?
Or did I misunderstand you and what you meant with "conda" was either anaconda, or conda-the-software? But then the comment about Python doesn't make much sense.
Sure, when your employees are outside of the corporate network they can still download stuff from the default channels, but in the end it is no different than any other license violation they could do. At least with Anaconda there is a semi-effective fix.
Putting these two teams up against one another isn't even fair: its like pushing baby chicks into a pond full of Piranhha fish.
It's not just a package manager: uv and ruff and tye are rapidly becoming an ecosystem. You think they don't have plans for Jupyter?
Google was a tiny company without a monetization strategy. Yahoo being gigantic and "divetsified" just made them a tastier meal for a different breed of competition.
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.
Anyone here using it regularly in 2025, is there anything I'm missing out on?
I've used conda for years and haven't set aside the day it'll take to switch to something simple and modern (uv's top of the list, but I'm open to suggestions)
Ahh makes sense now.
I would also venture to guess that cursor is a somewhat nontrivial modification to vscode at this point.
At these valuations you are now all billionaires. You have earned the commas and car doors that open like \__/.
I cannot imagine using Anaconda with how many issues I had. Virtual Environments have been superior.
https://www.theregister.com/2024/08/08/anaconda_puts_the_squ...
https://licenseware.io/retrospective-on-anacondas-2024-licen...
https://www.cdotrends.com/story/4173/anaconda-threatens-lega...
https://www.reuters.com/legal/litigation/intel-sued-copyrigh...
In my experience uv (haven't tried astral) doesn't quite fill the same niche, especially if compiled packages from other languages are necessary for your workflow (libboost for example)