Anaconda is an enterprise Python platform that provides access to open-source Python and R packages used in AI, data science, and machine learning. These enterprise-grade solutions are used by corporate, research, and academic institutions for competitive advantage and research.
$0
per month
Atom
Score 8.0 out of 10
N/A
Atom is a free and open source text editor offering a range of packages and themes.
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Pricing
Anaconda
Atom
Editions & Modules
Free Tier
$0
per month
Starter Tier
$15
per month per user
Business
$50
per month per user
Custom
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Pricing Offerings
Anaconda
Atom
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Users within organizations with 200+ employees/contractors (including Affiliates) require a paid Business license. Academic and non-profit research institutions may qualify for exemptions.
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Community Pulse
Anaconda
Atom
Considered Both Products
Anaconda
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Chose Anaconda
Anaconda is very strong in the environment and version control that make data science work much easier. The only thing that might be comparable to Anaconda would be using Kubernetes to control Docker. Another potential improvement would be replacing spyder with PyCharm and Atom …
Compare Anaconda to Unix coding system. You can use PIP to install and create requirement.txt to replace environment.yml to avoid using Anaconda. However, Anaconda is such an excellent tool to maintain your environment and check the version of your package and update the …
Atom is the tool that does not run any code but at the same time, it is also the tool that allows you to write different codes. Even though you cannot use Atom on the cloud, but since it is using pure python, it is still preferred.
I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.
Atom is great for simple HTML coding. It's fast, has intuitive shortcuts and several options. I particularly love the "convert spaces to tabs" function that I haven't seen in other editors.
I'm not sure how it would fair in more serious web development today, if there are plugins for live updates of the page you are working on...
But the problem is that it has been discontinued so you know there are no new features or fixes coming through.
Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
Atom is highly customizable and allows for various themes and extensions that can make your code easier to read.
Atom has many code hinting features that allow users to write faster and integrate with services likeLINT that can clean up your code once your done to meet your internal teams style choices.
It's very fast and manages projects well - Accessing other files within a related folder(s) is very easy and intuitive.
I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Well Atom is open source so the re-new is a no brainer. The only way I would stop using Atom is if the developers somehow made it not function well. Or, if the project got forked to a commercial version or something. Or, there could be the case that development stops or that it was not updated on this or that platform
I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.
I give Atom a 9 because it is one of the most modern text editors built with JavaScript intentionally to allow the editor to be changed and modified with custom functionality that a team may need. I think I would otherwise give atom an 8 due to support, but it gets a 9/10 because of the extensibility/plugin capability.
Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
Atom has an active forum and a Slack group where you can ask technical questions. Occasionally, the authors will pop in to answer a few questions here and there, but most of the time, its other helpful users who will assist you. Though they aren't the most knowledgeable, they are at least timely.
As for plugin support, that differs with each plugin, but as I mentioned before, many plugins are no longer maintained.
I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
Our company likes to keep things open, and we don't want to prevent developers from customizing their environment the way they want. Atom seemed to be a lot more open than our existing tools and has good community support on pretty much any programming language. This can create some confusion since adding too many extensions or customizing can make the tool slower than it is supposed to be.
It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
The tool we use when we need quick fixes. Allows fast, reliable scripting to fix urgent problems in our applications.
When applications grow from 5-10 files to 100's, they need to be migrated to a heavier-duty IDE. This can be cumbersome and quite annoying, but is necessary to maintain code integrity on such a large scale (since it cannot be done with the limited default toolset of Atom).
