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
Eclipse
Score 8.2 out of 10
N/A
Eclipse is a free and open source integrated development environment (IDE).
N/A
PhpStorm
Score 9.5 out of 10
N/A
JetBrains supports PhpStorm, an integrated development environment (IDE).
$9.90
per month per user
Pricing
Anaconda
Eclipse
PhpStorm
Editions & Modules
Free Tier
$0
per month
Starter Tier
$15
per month per user
Business
$50
per month per user
Custom
Contact Sales
No answers on this topic
For Individuals
$99
per year per user
For Organizations
$249
per year per user
Offerings
Pricing Offerings
Anaconda
Eclipse
PhpStorm
Free Trial
No
No
Yes
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
Yes
No
No
Entry-level Setup Fee
No 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.
When I have evalutated Eclipse and NetBeans (years ago), I have noticed that PHPstorm have more features already included, and overall, they are better in quality.
For example code refactoring, code analysis, debugging - everything was easier in PHPStorm.
Two things were decisive for choosing PhpStorm, and the first was the Education version since we were a university we were able to license for free, and the other was that we just had to use a single tool to develop our activities (coding, versioning), and operations in the …
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.
I think that if someone asked me for an IDE for Java programming, I would definitely recommend Eclipse as is one of the most complete solutions for this language out there. If the main programming language of that person is not Java, I don't think Eclipse would suit his needs[.]
PhpStorm is well suited for any project that utilizes PHP. I have used it on Windows, Ubuntu, and Mac OS and it works great on all those platforms. Having a solution that keeps the developer from having to constantly switch tools to do their job is invaluable. Whether you're a junior developer, front end engineer or a senior developer, PhpStorm is a great product that will help you get your work done.
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.
Database browsing, Remote host browsing, and all the deep seated customizations for both the UI and Technical feasability are the result of an amazing integrity and compatibility with most components and technologies.
The built-in shell is insanely helpful for traversing code in order to debug scripts with ease, and the plug-in system makes this software quite extensible.
Not to mention the variety of options and settings (divided into global settings and per-project settings) are both intuitive & easy to use, especially the fact that I can export and import them across my workstations while maintaining my spacing & indentation, highlighting, inspection patterns and syntax styling.
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.
While the DB integration is broad (many connectors) it isn't particularly deep. So if you need to do serious DB work on (for example) SQL Server, it is sometimes necessary to go directly to the SQL Server Studio. But for general access and manipulation, it is ok.
The syntax formatting is sometimes painful to set up and doesn't always support things well. For example, it doesn't effectively support SCSS.
Using it for remote debugging in a VM works pretty well, but it is difficult to set up and there is no documentation I could find to really explain how to do it. When remote debugging, the editor does not necessarily integrate the remote context. So, for example, things like Pylint don't always find the libraries in the VM and display spurious errors.
The debugging console is not the default, and my choice is never remembered, so every time I restart my program, it's a dialog and several clicks to get it back. The debugging console has the same contextual problems with remote debugging that the editor does.
Some of the newest github copilot features lag behind what's being done in vs code and would be nice if more of the newer features were brought over though this has greatly improved recently
Interface can be a little overwhelming for newcomers
Some features like rainbow brackets should be native rather than addon
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.
I love this product, what makes it one of the best tool out in the market is its ability to function with a wide range of languages. The online community support is superb, so you are never stuck on an issue. The customization is endless, you can keep adding plugins or jars for more functionalities as per your requirements. It's Free !!!
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.
It has everything that the developer needs to do the job. Few things that I have used in my day-to-day development 1. Console output. 2. Software flash functionality supporting multiple JTAG vendors like J-LINK. 3. Debugging capabilities like having a breakpoint, looking at the assembly, looking at the memory etc. this also applies to Embedded boards. 4. Plug-in like CMake, Doxygen and PlantUML are available.
PhpStorm is very easy to use, once you get the hang of it. It can take a while to get the hang of it because there's so many options, some of which are buried in the imposing settings panel. It could use some help with multi-cursor, especially multi-file editing but that's a minor gripe.
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.
I gave this rating because Eclipse is an open-source free IDE therefore no support system is available as far as I know. I have to go through other sources to solve my problem which is very tough and annoying. So if you are using Eclipse then you are on your own, as a student, it is not a big issue for me but for developers it is a need.
The JetBrains community is all about helping others succeed, even in the most obscure setups. I have never had a question go unanswered, or I have never been able to come up with empty results in searching for the answer. My questions or concerns are typically address from other users in the community, so timing is pretty quick for a response
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!
The installation, adaptability, and ease of usage for Eclipse are pretty high and simple compared to some of the other products. Also, the fact that it is almost a plug and play once the connections are established and once a new user gets the hang of the system comes pretty handy.
Easier to use, more features, more reliable. Much more purpose built with specific integrations aimed directly at php code instead of the broad generic interfaces the other software have that are aiming to support many different languages.
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.
This development environment offers the possibility of improving the productivity time of work teams by supporting the integration of large architectures.
It drives constant change and evolution in work teams thanks to its constant versioning.
It works well enough to develop continuous server client integrations, based on solid or any other programming principle.
PhpStorm decreased the time to market of new features - we are following the Agile SCRUM methodology with 2 weeks sprints. Using PhpStorm helped with releasing UI features even faster than 2 weeks.
Considering the price of the license and the cost of the server where we run it, the ROI is still high due to less time spent by developers with writing code, debugging, refactoring etc. Especially when you have highly paid developers.
Increased people's happiness - by using a modern tool with lots of features which has made their work easier.
