# Anaconda Reviews 2026. Verified Reviews, Pros & Cons | Capterra

> Is Anaconda the right Machine Learning solution for you? Explore 86 verified user reviews from people in industries like yours to make a confident choice.

Source: https://www.capterra.com/p/191760/Anaconda/reviews

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Anaconda

4.6 (86)

[View alternatives](https://www.capterra.com/p/191760/Anaconda/alternatives/)

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/)

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Last updated March 13th, 2026

# Reviews of Anaconda

Ease of use

4.4

Customer Service

4.0

## Pros and Cons in Reviews

AR

Aditya R

Product ManagerComputer Networking, Self-employedUsed the software for: 1-2 years.

“It has made data management much easier by providing a stable environment to work with large datasets and popular libraries without constant dependency issues.“

January 4, 2026

GT

Gregor T

Senior Operations ExecutiveInformation Technology and Services, 1,001 - 5,000 employeesUsed the software for: Less than 6 months.

“It can be really slow to open Anaconda, and initially I was very confused about the different applications integrated into it as it's not immediately obvious what the difference between some of them is (e.g. Jupyter lab v Jupyter notebook), with the explanations not being that clear.“

June 11, 2022

AR

Aditya R

Product ManagerComputer Networking, Self-employedUsed the software for: 1-2 years.

“Installing Python, managing libraries, and working with tools like Jupyter Notebook becomes much simpler, especially when handling data analysis tasks.“

January 4, 2026

JJ

Jibin J

Automation EngineerInformation Technology and Services, 11 - 50 employeesUsed the software for: 1-2 years.

“I didn't find anything to dislike, But sometimes the tool crashes in between working and reloading takes much time.“

September 23, 2022

Fungai Nicole C

Support WorkerHospital & Health Care, 11 - 50 employeesUsed the software for: I used a free trial.

“I like that it has a large variety of integrations for example CoLab and this was really awesome because I could edit my python code in the Anaconda interface before deploying my finished app to Streamlit.“

April 18, 2025

Edwin O

Administrative AssistantInformation Technology and Services, 11 - 50 employeesUsed the software for: 1-2 years.

“This software takes a long time to open compared to other related alternatives. When I try to update one package of anaconda, it automatically updates all the packages and this I don't like.“

September 12, 2021

AR

Aditya R

Product ManagerComputer Networking, Self-employedUsed the software for: 1-2 years.

“What I liked most about Anaconda is how smoothly it brings everything together in one place.“

January 4, 2026

Dr Shafi S

Assistant professor Education Management, 10,001+ employeesUsed the software for: More than 2 years.

“This software isn't good for slow machines.“

August 4, 2022

## Showing most helpful reviews

Showing 1-25 of 86 Reviews

Sort by:

Most Helpful

Rating

Company Size

Reviewer's Role

Length of Use

Frequency of Use

Fungai Nicole C.  
Support Worker  
Hospital & Health Care  
Used the software for: I used a free trial

### "Easy to setup environments and code in many languages with Anaconda. Can be integrated with Streamlit."

April 18, 2025

5.0

I loved integrating Anaconda with Streamlit. I had spent a significant amount of time trying to setup Streamlit on my PC but it was not running. I like that it has a large variety of integrations for example CoLab and this was really awesome because I could edit my python code in the Anaconda interface before deploying my finished app to Streamlit. You can use a lot of coding languages to code from C to others like visual basic.

Pros

I liked how easy it was to integrate the Anaconda environment with Streamlit. I was having trouble installing Streamlit on my computer and as soon I followed the easy instructions, I could just play a Play button and the environment would run smoothly.

Cons

The Windows setup file can take a while to download but it is worth it.

Switched from

[Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/)

I wanted to compare products to see which was more user friendly.

Review Source

TM

Terry M.  
Senior Analyst  
Mining & Metals  
Used the software for: 2+ years

### "must use for every data scientist"

May 3, 2025

5.0

Pros

best package management solution for python, two IDE can choose from jupyter or spyder

Cons

conda managed packages are usually lagging actual package versions, using pip install can easily create conflicts

Switched from

[Microsoft Visual Studio](https://www.capterra.com/p/80230/microsoft-visual-studio/)

anaconda is more intuitive and user friendly for package management

Review Source

CM

Christhian M.  
Data Scientist  
Financial Services  
Used the software for: 2+ years

### "Review of Anaconda"

October 21, 2024

3.0

Pros

As a data scientist, we all know and have use anaconda because it provide every element needed to help us develop our projet. Between those elements we have IDEs, notebook editor, Python and R preinstalled with the most used libraries.

Cons

Anaconda unfortunately takes too much space on laptop and it is sometimes really slow even when opening it

Review Source

AR

Aditya R.  
Product Manager  
Computer Networking  
Used the software for: 1-2 years

### "A convenient and beginner friendly tool for managing data science workflows"

January 4, 2026

5.0

Overall, my experience with Anaconda has been positive. It has made data management much easier by providing a stable environment to work with large datasets and popular libraries without constant dependency issues. The free version offers a lot, especially for students and individual users, which makes it very cost-effective.

Pros

What I liked most about Anaconda is how smoothly it brings everything together in one place. Installing Python, managing libraries, and working with tools like Jupyter Notebook becomes much simpler, especially when handling data analysis tasks. It saves time, reduces setup issues, and lets me focus more on learning and building projects rather than fixing environment problems.

Cons

One thing I liked least about Anaconda is that it can feel heavy and slow at times, especially on systems with limited resources. The environment management, while powerful, can be confusing in the beginning and sometimes leads to version conflicts. Also, updates and package installations occasionally take longer than expected, which can interrupt workflow.

Review Source

FD

Ferhat D.  
Data Warehouse Developer  
Information Technology and Services  
Used the software for: 2+ years

### "Data Science platform with extensive functionality and ease of version management"

January 25, 2020

5.0

I love Anaconda overall thanks to its extensive set of features, platforms it contains and ability to manage installed libraries and install new ones. Version management is very critical for a developer. For example, I recently needed a function that was brought to Pandas just recently, which was 'Int64' datatype that enabled NaN values for Int datatype in DataFrame. I realized I needed to update Pandas. Rather than going through painful process of library update and management, I have gone through this process with ease.

Pros

I loved that: - Almost all libraries come default with Anaconda, such as Pandas, NumPy, Matplotlib, Seaborn, Sci-kit Learn. - Even the libraries that does not come default in Anaconda can be easily installed via Anaconda user interface because the namespace contains such information. For example XGBoost, CatBoost, LightGBM, Imbalanced-learn, tsfresh libraries can be installed easily with no need to pip or other command-line interface command. - Maintenance and update of installed libraries are managed easily and automatically in Anaconda. You can see your installed library's current version and if there's any update, it automatically checks and notify you so that you can update them all with one click only. - Anaconda comes with platforms such as Jupyter Notebook, Spyder, Orange, VSCode and more. So you can develop your Python/R script in any of those according to your preference.

Cons

There are two drawbacks I have seen so far: - As more and more libraries are installed, Anaconda opening becomes slower. - Update of libraries at once is relatively slow but I guess that's understandable, comparing it to all the labor otherwise that would be carried out by the developer.

Alternatives considered

[IBM SPSS Statistics](https://www.capterra.com/p/250819/IBM-SPSS-Statistics/)

Reason for choosing Anaconda

SPSS still suffered the lack of flexibility and functionalities, compared to libraries that come with Anaconda some of which are Pandas, NumPy, Scikit-Learn. So it was not an actual option so I have chosen Anaconda.

Switched from

[KNIME Analytics Platform](https://www.capterra.com/p/158739/KNIME-Analytics-Platform/)

I needed more customized and sophisticated solutions for Data Science, for both Data visualization and machine learning model development. I realized Anaconda is the best platform to go with, because in non-programming packages, sophisticated custom data manipulation, visualization and functions of algorithms are very restricted.

Review Source

Harsh D.  
Researcher  
Higher Education  
Used the software for: 1-2 years

### "Best tool for Python Begineers"

July 21, 2023

5.0

Pros

Anaconda is by far the best tool available for Python Begineers. It makes it easy to use jupyter Notebook, Jupyter Labs and other User Interfaces (UI). As compared to other UIs available like PyCharm which are paid, Anaconda is completely free and allows you do most of the tasks you would need to perform without error.

Cons

Anaconda is bundle of many User Interfaces. As a consequence, it consumes a bit of storage space in your hard disk. Further, it may take some time to familiarize with the tool.

Switched from

[PyCharm](https://www.capterra.com/p/186625/PyCharm/)

Anaconda provides most of the services PyCharm does but at zero costs. While PyCharm is quite expensive, Anaconda can be used for free.

Review Source

Edwin O.  
Administrative Assistant  
Information Technology and Services  
Used the software for: 1-2 years

### "Best software for developing projects from different fields."

September 12, 2021

4.0

This software has enabled me learn many things from different fields with different languages most especially python programming. Indeed this software includes many packages on one software and this has made my work more effective and efficient than ever.

Pros

First is its broad support for python libraries. This software includes various important libraries therefore it does not limit a programmer from using it either in python or R programming. It is an important software for developing long term projects that can run in different python versions. It was hard at first for me to select the best software to learn machine learning but since I got anaconda machine learning has been easy. Runs on more than one platform or operating system. Lastly installing new libraries on anaconda is so easy since it doesn't requires different steps for you to install those libraries.

Cons

This software takes a long time to open compared to other related alternatives. When I try to update one package of anaconda, it automatically updates all the packages and this I don't like. I don't have many negative things since it covers all my expectations only that if you are using Jupyter Notebook your internet connectivity should be good.

Alternatives considered

[PyCharm](https://www.capterra.com/p/186625/PyCharm/)

Reason for choosing Anaconda

It has more libraries than PyCharm and this allows me learn many things.

Review Source

YK

Yigit K.  
Engineer  
Consumer Electronics  
Used the software for: 1-2 years

### "Better alternative for Numeric analysis and visualization"

March 7, 2020

5.0

Anaconda is very useful tool with many great open source tools that come with it, such as Pandas, NumPy, SciPy, Matplotlib, Seaborn as well as convenience to keep them updated, and install new ones.

Pros

I liked that it comes with a lot of ready to use libraries out of package, such as NumPy, Pandas, SciPy, Matplotlib and Seaborn, which makes it possible to read, process, model and visualize the data. I liked that version management is very easy to handle, too. It is possible to simply click on the library and then "install/update" button below. It is also very easy to install new ones, its default namespace already contains many many Python libraries and you can filter them using "not installed ones". Then again, to install, you simply click on the checkboxes.

Cons

The only drawback I can say is its rapidity is a bit low. I guess that's expected considering the number of packages it comes with, and adding new ones to these ones. Another strange thing I came across is, whenever I want to update a package that was already installed, instead of updating that one only, it updated them all, which is odd and very time consuming, considered each update takes some significant time.

Switched from

[MATLAB](https://www.capterra.com/p/125813/MATLAB/)

Anaconda brings up more abilities with its vast number of libraries.

Review Source

TS

Tania S.  
Student  
Higher Education  
Used the software for: 2+ years

### "Saved my semester!"

March 22, 2022

5.0

Excellent! You do not have problems if you code in r or python, you can work with both at same time!

Pros

The fact that you can use spyder and rstudio in the same software is a great advantage to improve your app development.

Cons

There is so much information to learn if you are new in coding, but once you learn, it is very easy to navigate in Anaconda's features.

Switched from

[The Jupyter Notebook](https://www.capterra.com/p/234967/The-Jupyter-Notebook/)

You can integrate codes from other languages.

Review Source

GC

George C.  
Retired CAE Engineer  
Automotive  
Used the software for: 2+ years

### "Anaconda package"

November 11, 2024

4.0

I am using this software since 2020 and until now I am satisfied with the obtained results.

Pros

It is complete package for a programer or analyst. It is usefully for a beginner or for an experienced.

Cons

It is to slowly for oldest computers and take a lot of resources like memory or CPU

Review Source

LH

Leslie H.  
Student  
Information Technology and Services  
Used the software for: 2+ years

### "Cohesive and Practical "

November 15, 2024

5.0

Pros

Easy to create environments and coordinate packages.

Cons

The GUI runs a little slow on my basic personal computer.

Review Source

RPC

Rekha Priyadharshini C.  
Data Scientist  
Information Technology and Services  
Used the software for: 2+ years

### "Best way to get started in Data Science"

July 27, 2021

5.0

I would happily recommend Anaconda to anyone who is starting in Data Science (or Miniconda depending on computing resources). Before I found Anaconda, it was a hassle to install packages using pip or wheel files. I've been using Anaconda as the development environment for all my Python projects. I hope they add full support to SBC devices like Raspberry Pi in future.

Pros

Anaconda is the best tool to get started on Data Science or A.I projects. It is a one-step setup solution as it auto install a curated list of Python packages that are widely used in most Python projects. The included packages supports wide variety of projects that range from Web development to Data Visualization, Machine Learning and even IOT. It also provides a cloud repository for managing and installing package dependences (like Maven). Using Anaconda Navigator, use can launch any tool like PyCharm, Jupyter Notebook, R Studio and even mange different environments. Development tools like Spyder and Jupyter are pre-installed with Anaconda, so its easy to get started with programming.

Cons

In my opinion Anaconda is heavy on resources and may not be ideal for production environments. The curated list of packages and auto-dependency management tools are very useful during development as it saves time and effort. But in production, it is better to install only the required packages since all the packages under Anaconda may be unnecessary. Anaconda supports most platforms but I was unsuccessful in setting it up in Raspberry Pi 4 (ARM64 architecture, 8GB RAM).

Review Source

VR

Verified Reviewer  
Associate Consultant  
Information Technology and Services  
Used the software for: 1-2 years

### "Anaconda - Best Tool For Data Science and Data Visualization."

April 21, 2021

5.0

Pros

if you are Beginner and Experience, To begin with, it is extremely simple to set up and use. You can start coding immediately after downloading Anaconda from the official website I usually code using Jupiter Notebook  Anaconda is less difficult to use than PyCharm. If I have small ventures, it is the best place for me. In comparison to PyCharm and other IDEs, Jupiter Notebook runs tasks much faster. Supported multiple Machine Learning libraries and Very easy to use. The best Thing About anaconda is it is free to use.

Cons

Whenever I Working with a huge amount of data it takes a bit more time to load and display the data. At first, it's a little sluggish. It would greatly improve the experience if it were a little quicker. Otherwise, I love using Anaconda.

Reason for choosing Anaconda

UI design is the best and very attractive to users.

Review Source

CD

Cyrus D.  
Software Developer  
Commercial Real Estate  
Used the software for: 2+ years

### "Anaconda - a great tool to discover Python"

May 31, 2023

5.0

Overjoyed and used it from college days till now. Really helps with python understanding

Pros

Ease of use, multifunctionality of applications and wide variety of features are just a few of its great attributes.

Cons

A better platform for hosting all the applications, I think that is the only flaw

Review Source

VR

Verified Reviewer  
Data analyst  
Computer Software  
Used the software for: 6-12 months

### "Anaconda review"

April 25, 2022

5.0

as mentioned in Cons, I once faced a problem while installing it for a user that has an apostrophe in his name.

Pros

Anaconda is a great environment for python and Data Science users as it provides a variety of applications related to python/data science, downloading libraries is also easy with conda shell, and it also has a learning section which I see is helpful.

Cons

installing it for the first time may be difficult for some people, I once faced a problem while installing it for a user that has an apostrophe in his name.

Review Source

YA

Youssef A.  
data scientist  
Computer Software  
Used the software for: 2+ years

### "The best Python package manager ever"

August 5, 2022

5.0

I use anaconda for years and I highly recommend the product for your data science and python projects.

Pros

Thanks to Anaconda I can handle multiple python environments and projects easily. Also, it has many extensions such as jupyter notebook, jupyter lab, vscode and R support.

Cons

I am very satisfied with the product and I don't see any limitations.

Review Source

BT

Barış T.  
Data Scientist  
E-Learning  
Used the software for: 6-12 months

### "Create and manage virtual environment"

June 9, 2022

5.0

I can work with any IDE I want from within the application. I usually used Pycharm, if you want you can use spyder, Jupyternotebook or something.

Pros

The application is very easy to use. The interface is user-friendly and simple. It contains documents and instructional videos, which are very useful.

Cons

There is no downside to the app. It can be used especially for python.

Switched from

[RStudio Desktop](https://www.capterra.com/p/210152/RStudio/)

I wanted to use it for testing purposes.

Review Source

VR

Verified Reviewer  
Social Worker  
Civic & Social Organization  
Used the software for: Less than 6 months

### "Anaconda review"

September 8, 2022

5.0

The application's access to other applications reveals a strong and integrated working system.

Pros

The app does an overall good job of predictive modeling.

Cons

The application is integrated with other applications, but data on recent versions is scarce

Review Source

VR

Verified Reviewer  
AVP Actuary  
Insurance  
Used the software for: 1-2 years

### "Great Product for Python Users"

August 11, 2022

5.0

Used it to develop models in Python

Pros

Great distribution, with installation and package management tools and a lot of packages to make developing much easier.

Cons

It takes some getting used to to navigate the environment.

Review Source

PM

Philippe M.  
Senior Market Analyst  
Financial Services  
Used the software for: 2+ years

### "Great platform to use for coding"

May 17, 2022

5.0

Mostly using Anaconda for python coding in order to create data visualization that would not be possible on Excel.

Pros

First off, Anaconda is extremely easy to use for all your potential coding needs without downloading a lot of different software. Secondly, it's a strong platform to used for any python coding necessary for work.

Cons

None, I have had zero issues with this software since I started using it.

Review Source

KW

Kajetan W.  
PPC Specialist  
Marketing and Advertising  
Used the software for: Less than 6 months

### "Amazing possibilites for all-levels users"

May 27, 2021

5.0

Great platform for me as a beginner to play with all the amazing Python tools. It looks like a great choice for pros too but I can't tell for sure.

Pros

I like the fact I can have all the libraries and modes I need to be installed quickly and as an all-in-one tool. I'm a beginner with Python and I didn't know how to deal with it and Anaconda turned out to be a great solution.

Cons

It was not so obvious to install and I'm still not sure about all the functionalities. The tutorial materials could be more broad but on the other hand I use the free version for learning purposes so I shouldn't expect too much.

Reason for choosing Anaconda

It seemed like the easiest solution and it was widely recommended all over the web.

Review Source

sA

saisri A.  
Sr Executive  
Chemicals  
Used the software for: 6-12 months

### "Beginner journey with Anaconda"

March 4, 2023

4.0

Being a beginner enjoying doing my data science projects with help of Anaconda

Pros

All data science project required libraries are available in anaconda , being beginner can use it very ease

Cons

As of now i like its a great platform, will update the same in future

Review Source

RN

Riazuddin N.  
Deputy Manager  
Biotechnology  
Used the software for: 2+ years

### "Anaconda Review"

March 28, 2022

4.0

Pros

The best feature of this tool is its ease of implementation and install without any hassles. The other best thing is we can integrate R studio apart from the Python's Jupyter notebook so that we can actually work and code in R programming language

Cons

One thing I don't like is the dependencies to install few libraries and packages. The developers should make it more simple rather than complex so that even a non-IT guy can quickly grasp

Review Source

CG

Christopher G.  
Student  
Insurance  
Used the software for: Less than 6 months

### "Great Software"

June 23, 2021

4.0

Pros

Its a software where you can program in several languages, Anaconda has a lot of programs suchs like R Studio, Python, Orange and Jupyter Notebook. Its easy to use because has the opportunity to choose the enviroment, version and a lot of other setting that are very useful for everyone.

Cons

I dont consider that exist issues with this program, I only think the loading time would be better in some times and maybe would be more intuitive.

Review Source

AAV

Alessandro Alvise V.  
Business Developer  
Computer Software  
Used the software for: 6-12 months

### "Amazing software."

May 6, 2021

5.0

Great software, I have it saved in my tool bar and I use it often. Recommended.

Pros

Very nice and functional. I use it for python and the jupyter notebook works very well. It's my go-to software.

Cons

No issues identified. Through anaconda you have access to multiple softwares, if you already know you're not going to use some of them, it would be nice to remove them maybe.

Review Source

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