Anaconda vs. WebStorm vs. PhpStorm

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.

Incentivized

Groups that use a [variety] of development environments (.net, python, web), Jebrain's products and Webstorm, in particular, are a great choice for productivity. If your developers are accustom to another IDE it might be better for all to sync on the same one. I wouldn't take the cost aspect as a consideration. A productive developer is far more important.

Incentivized

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.

Incentivized

• 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.

Incentivized

• Includes a built in spell checker to eliminate time wasted searching for small mistakes.
• Provides a drop down menu of options complete with keyboard shortcuts that allow for streamlined programming.
• Identifies when variables are named differently, allowing for cohesive work without the scrolling.

Incentivized

• 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.

Incentivized

• It can have a cloud interface to store the work.
• Compatible for large size files.
• 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.

Incentivized

• The popup file search sometimes frustrates me. It caps the number of results, and sometimes it isn't clear that it simply stopped looking. I also used to have trouble finding string occurrences that I knew were in my project, but I think they've made improvements in this area recently.
• Being a AAA IDE, WebStorm can be a memory hog. If I don't kill it every few days, it can get really slow. I would love to see performance improvements.
• Speaking of performance, WebStorm can take a long time to launch. I'd like to see improvements in launch times.

Incentivized

• 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

Incentivized

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.

Incentivized

It's an irreplaceable part of my toolkit and isn't that expensive per year.

Incentivized

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.

Incentivized

Great in debugging, testing, developing and maintaining softwares in a number of languages. Great support for many languages and their syntaxes. Great support of many third party extensions and plugins like GIT and html plugins. The RAM usage of WebStorm however could be really improved, it literally takes almost all of the RAM of my machine with 16GB RAM

Incentivized

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.

Incentivized

I gave this rating because I have never needed their customer support, which is the highest level of support I suppose. When a product works just fine out of the box and everything you may need is well documented, it's a paradise for the customer. But I've seen some questions asked on their portal, and I've seen thorough answers given to the questions and the willingness to support the customer with follow-ups and everything else.

Incentivized

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

Incentivized

Highly recommend the JetBrains Toolbox, it remembers your recent projects and launches from the task bar.

Incentivized

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!

Incentivized

I think WebStorm is way ahead of open-source editors. Please don't get me wrong, I love open-source. But the other free editors have a lot of configuration which blocks my whole coding experience. Take "Atom" for example. I used it for about 3 months, but in that time I had to update the plugins hundreds of time, and for every little thing (e.g. linter) I had to download a community plugin, and with each plugin atom would get a little slow. Take "Eclipse" for another example, which is very suited for Java, but not so suited for JavaScript. Sublime was good, but WebStorm comes with many exciting features that I did not find in sublime/notepad.

Incentivized

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.

Incentivized

• Saves lot of time when we are finding the text or files.
• Easy to work with for support projects.
• Nice code completion feature.
• It's all in one solution for both front end, back end and database solution to work with.
• Initial learning curve is required to use the workbench.
• Documentation can be improved better probably adding videos, would be helpful for visual person.

Incentivized

• 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.

Incentivized