External reviews
242 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Good resource to create the virtual environment for the python
What do you like best about the product?
Do not need to install the virtual environment with a command line and also no need to write the command for installing the python packages.
What do you dislike about the product?
Sometimes I am not able to install the python packages from the anaconda so I use to need pip commands like wheel package.
What problems is the product solving and how is that benefiting you?
No need to write the commands and also anaconda provides lots of IDE like spyder and all. Also a user-friendly interface for the new users and easy to install.
Data science tool
What do you like best about the product?
I have been using anaconda for the last 2 to 3 years, and I love it the most because almost all required libraries for data science are available in it. Easy to create a notebook for a data science project and easy to use too
What do you dislike about the product?
I wouldn't say I like this because The application takes a lot of time to load the first time. Sometimes, it stops working because it consumes more ram, and if you have pc with low specification, it will not work in that.
What problems is the product solving and how is that benefiting you?
I solve problem-related to the real-world I do my analytical stuff in it via using python and R, and I also make some machine learning models to get more accuracy in my project and I learn a lot using it.
One of the Best IDE for data science
What do you like best about the product?
Packages related to data science come with Anaconda. Easy to install packages, creating virtual environments. One of the best IDE for beginners. Either R or Python can be choosen to code.
What do you dislike about the product?
There are not many things I dislike about. It only consumes too much RAM, but it does not have to be related to the application. Data science projects can sometimes have large data sets.
What problems is the product solving and how is that benefiting you?
I work on data science projects. When I am working on a project, and I do need to install a couple of packages, it lets me create my virtual environment and install the packages on it quickly.
Amazing for individuals, paid for teams
What do you like best about the product?
1) Software: I always love one-stop-shop options, whether shopping or software. Anaconda does this best. You install one software and forget about others.
2) GUI: It is pretty intuitive, and terminal integration in Macs is fantastic. I use it on a day-to-day basis for Python, specifically Jupyter notebook. I don't think anyone downloads Jupyter notebook as a standalone software now.
2) GUI: It is pretty intuitive, and terminal integration in Macs is fantastic. I use it on a day-to-day basis for Python, specifically Jupyter notebook. I don't think anyone downloads Jupyter notebook as a standalone software now.
What do you dislike about the product?
There is nothing to dislike in general, but if I have to nitpick, I would say that the "Paid" option for open source software is a little far-fetched. I understand that they are providing services for the amount they are charging, but paid software for free software still doesn't make sense. At least to me.
What problems is the product solving and how is that benefiting you?
I generally use it for Jupyter Notebook. As mentioned earlier, I don't think anyone has downloaded Jupyter notebook as standalone software. Anaconde is a whole package. Sometimes, I use it for Python as well. I prefer to use Rstudio for R programming.
Recommendations to others considering the product:
Please make sure that your IT department gives you proper rights to update the packages and inherited software otherwise it will be a long process.
Best for Data Scientists
What do you like best about the product?
It has much more software enclosed within it like Spyder, Jupyter notebook, etc. Also, the UI is also very clean and user-friendly. It is best suitable for Python and R Developers who are into data science and machine learning. Also, package management is also very simple with anaconda.
What do you dislike about the product?
There is not much to dislike about this software. But sometimes it makes the system slow as data science projects are huge and also anaconda. Also, it also consumes a lot of RAM.
What problems is the product solving and how is that benefiting you?
It saves a lot of time for me and also makes tedious data science projects easy to handle and work upon. Also, it can generate nice graphs and data analysis.
Python with Anaconda -> works wonderous!
What do you like best about the product?
If you are a budding data scientist and code in Python or R, let me tell you there's no better alternative to Anaconda. Anaconda provides all the necessities you would be requiring to develop and deploy a project in Python/R. It has a wide range of Development environments, notebooks, and IDEs to work in. I strongly suggest Anaconda to all my fellowships who intend to learn or in their data scientist journey.
What do you dislike about the product?
I have been using Anaconda for a year now, and honestly, I haven't yet found anything that I would like to change. Anaconda is the perfect hub for all data science aspirants!
What problems is the product solving and how is that benefiting you?
I am a data science enthusiast. I have been using Anaconda since the start of my journey. I use most of the Development environments under Anaconda like Jupyter Lab, and write my python codes on Jupyter notebook when it comes to Machine Learningor Deep Learning. I like how Anaconda saves me from the hassle of downloading multiple softwares. Anaconda also provides all the relevant documents. Another major thing I like about Anaconda is that it has a powerful and active community. So if I get stuck anywhere, I can put up my questions in the discussion forum.
Helpful platform for new users in computational space
What do you like best about the product?
Anaconda has a simple, easy to use user interface. It helps organize information regarding virtual environments, installed packages, and dependencies etc., which is very useful for someone who is new to machine learning and other computional workflows like me.
What do you dislike about the product?
The user interface is sometimes slow. I also get confused about when to use conda and when to use pip to install packages.
What problems is the product solving and how is that benefiting you?
Anaconda helps me organize my virtual environments for work, which involves both building my own machine learning models and using other pre-trained models
best packaging manager for python
What do you like best about the product?
creating environments, installing packages, isolating packages and environments for projects
What do you dislike about the product?
defining requirements file for packages during the environment creation
What problems is the product solving and how is that benefiting you?
writing automation solutions using python
Recommendations to others considering the product:
if you want a sophisticated IDE then also consider pycharm before trying anaconda.
A very native and useful platform for developers
What do you like best about the product?
It has multiple sections, which I like the most because developers can easily do programming as anaconda provides various platforms for developing a program
What do you dislike about the product?
I don't think so there is anything to dislike in this platform, but it would be very beneficial for us if recommended libraries were asked while installing this software
What problems is the product solving and how is that benefiting you?
I can use two different platforms at a time, which I like the most, and benefit for me one is Jupiter notebook, and the other is VS Code
Recommendations to others considering the product:
I would ideally recommend to the new upcoming young developers to use this platform
Best IDE For Python Projects
What do you like best about the product?
It supports Multi Environment creation options for installing libraries.
It gives the flexibility to store the package files of the environments to customized locations.
It allows installing of applications inside the Anaconda ide.
Easy library installation and up-gradation in different environments.
Inbuilt CMD for anaconda ide to install libraries and execute commands.
It gives the flexibility to store the package files of the environments to customized locations.
It allows installing of applications inside the Anaconda ide.
Easy library installation and up-gradation in different environments.
Inbuilt CMD for anaconda ide to install libraries and execute commands.
What do you dislike about the product?
It takes much time to start up and load the projects.
Sometimes it becomes difficult to execute or stop the kernel when executing the large computation models.
Sometimes it becomes difficult to execute or stop the kernel when executing the large computation models.
What problems is the product solving and how is that benefiting you?
Managing multi environments for projects (development, stage, production)
Training models and executing python scripts.
Easy installation of libraries and rolling back to stable versions.
Training models and executing python scripts.
Easy installation of libraries and rolling back to stable versions.
Recommendations to others considering the product:
I recommend using Anaconda Ide for the python projects and managing the multiple execution environments. It helps in deploying the application with its multi-environment support.
showing 91 - 100