Anaconda

Anaconda

143 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Anaconda	Score 8.7 out of 10	N/A	Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.	$0 per month

Pricing

Anaconda

Editions & Modules

Free Tier: $0
per month
Starter Tier: $9
per month
Business Tier: $50
per month per user
Enterprise Tier: 60.00+
per month per user

Offerings

Pricing Offerings
Anaconda
Free Trial
No
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes

Entry-level Setup Fee

No setup fee

Additional Details

—

More Pricing Information

Community Pulse
	Anaconda
Considered Both Products	Anaconda Ammar Aboalrub Freelancer Chose Anaconda There are several reasons why Anaconda is better to use for me including that it is much easier to use than Baycharm. Also, the user interface is not as complicated as that of Baycharm. Even Anaconda does not slow down my device, using PaySharm slowed down my device in an … Helpful? Verified User Engineer Chose Anaconda It provides several IDEs like Spyder and Jupiter that would be enough for me to write my Python script. You can easily install it on a Windows or Linux computer and supports many libraries. Incentivized Helpful? Zayed Rais Program Analyst Chose Anaconda In Anaconda, [it is easy] to find and install the required libraries. Here, we can work on multiple projects with different sets of the environment. [It is] easy to create the notebook for developing the ML model and deployment. Right now, it is the best data science version … Incentivized Helpful? Verified User Contributor Chose Anaconda Suitable for Python development where there’s internal supporting for Python; otherwise, other platform offers similar capabilities with lower cost. Incentivized Helpful? Jay Thakkar Student Chose Anaconda I have used many other tools for coding purposes. But for python programming, the best fit tool is Anaconda. Memory management is best in Anaconda. Incentivized Helpful? Dilip Jain Senior Database Administrator Chose Anaconda On top of all the software that I have used, Anaconda is the best because in Anaconda we have built-in packages that provide no headache to install packages and we can design a separate environment for different projects. Anaconda has versions made for special use cases. … Incentivized Helpful? RV Rounak Verma Data Analyst Chose Anaconda One of the main competitors to Anaconda can be Google products such as Colab. Colab gives you the flexibility to handle large datasets gives it an edge over Anaconda. But again, the ease of access and usability of Anaconda stacks up against Colab. Besides, Anaconda relies more … Incentivized Helpful? Gabriel Krahn Analista de Suporte de Sistemas Chose Anaconda It is almost dishonest to compare Anaconda with PyCharm as they do different things in their basic forms unless you spend a lot of time configuring plugins on your PyCharm environment. Anaconda has a lot of things ready and you just need to install your libs and dependencies. Incentivized Helpful? Verified User Consultant Chose Anaconda This is an open source tool and used very easily. All the notebooks are under one navigator solved the whole problem. Incentivized Helpful? AC Anomita Chandra Business Analyst Chose Anaconda Anaconda has features which overpowers it over the other analytical tools I have used. Also it provides multiple ways to reach to the solution, depending on the developers expertise. When I was a beginner at using Anaconda, since it is open source and the community using … Incentivized Helpful? Verified User C-Level Executive Chose Anaconda Free ware, better design ease of use Incentivized Helpful? Fernanda Ministerio Specialist Chose Anaconda Some analyzed tools, such as PyCharm and Spyder, are simpler to use but still do not have all the libraries needed for those starting out in data science--or in institutions that need to grow in that direction. Anaconda is more robust but stable, more complete, and the … Incentivized Helpful? Verified User Employee Chose Anaconda If the project is not large scale then Jupiter notebooks or Visual Studio Code serve well. If you don't have any dependency on Python versions, these IDEs can be well suited for fast development and deployment. Incentivized Helpful? Verified User Engineer Chose Anaconda Anaconda includes many standard data science packages where as the regular python installation does not. Depending on use case, some may feel Anaconda may be "bloated" For ease Anaconda is better, for minimizing extraneous package installation, the regular python installer is … Incentivized Helpful? Tigran Petrosyan Risk Management Specialist Chose Anaconda I know that PyCharm is a IDE and Anaconda is a distribution. However I use Anaconda largely due to Jupyter Notebook, which more or less does the same job as PyCharm. 1 year ago I decided to use Anaconda (Jupiyer Notebook) as it is easier to use it as a beginner(at least my … Incentivized Helpful? Verified User Engineer Chose Anaconda I have not used another program like Anaconda before. Incentivized Helpful? Juande Santander-Vela Software Development Lead / Product Manager at Solution Level Chose Anaconda Anaconda has 64-bit support in the community edition, and package management is more in line with the way we think. Incentivized Helpful? Ryan McGarry Vice President of Research, Neuroscientist Chose Anaconda MATLAB is more of a pay-as-you-go alternative, which not only does not use Python but is also more bloated and costly. MATLAB takes longer to install, setup, and configure for new users who may require specific packages - such as the Classification Learner (machine learning), … Incentivized Helpful? Xiaotong Song Business Analyst Chose Anaconda 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 … Incentivized Helpful? Verified User Analyst 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 … Incentivized Helpful? Verified User Analyst Chose Anaconda I like SpyDER, which comes with Anaconda better for its intuitive layout and variable explorer options. Incentivized Helpful? Verified User Professional Chose Anaconda Anaconda gives freedom to do anything with its packages, compared to other non-programming language-based softwares. It is almost possible to do anything with Anaconda. Anaconda brings ease of integrity because it is possible to integrate anything with a Python Py script, … Helpful? Matthew Deakyne Academic Services Manager Chose Anaconda I prefer Anaconda due to the control I have at every level over the data and the visualizations. Power BI does a better job at guessing what graphics to use, but these usually aren't the most helpful. Anaconda and the slew of Python extensions that add incredible functionality, … Incentivized Helpful? Verified User Analyst Chose Anaconda Other systems might be easier to set-up but Anaconda is a fairly flexible analytics toolkit. It can be configured in a way that truly matches the way in which your business or analytics department works. Built on top of lots of open source projects so things aren't siloed and … Incentivized Helpful?
Top Pros	Pro Easy to install Pro Data science Pro Data analysis
Top Cons	Minus Small projects Minus Time to load Minus Large projects

Features

Anaconda

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	Anaconda 9.4 24 Ratings 11% above category average
Connect to Multiple Data Sources	9.822 Ratings
Extend Existing Data Sources	8.923 Ratings
Automatic Data Format Detection	9.621 Ratings
MDM Integration	9.614 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	Anaconda 9.2 24 Ratings 9% above category average
Visualization	9.624 Ratings
Interactive Data Analysis	8.923 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	Anaconda 9.4 25 Ratings 13% above category average
Interactive Data Cleaning and Enrichment	8.823 Ratings
Data Transformations	9.625 Ratings
Data Encryption	9.719 Ratings
Built-in Processors	9.520 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	Anaconda 9.3 23 Ratings 9% above category average
Multiple Model Development Languages and Tools	9.622 Ratings
Automated Machine Learning	8.821 Ratings
Single platform for multiple model development	8.923 Ratings
Self-Service Model Delivery	9.618 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	Anaconda 9.5 20 Ratings 10% above category average
Flexible Model Publishing Options	9.520 Ratings
Security, Governance, and Cost Controls	9.519 Ratings

Best Alternatives
	Anaconda
Small Businesses	IBM SPSS Modeler Score 7.8 out of 10
Medium-sized Companies	Mathematica Score 8.2 out of 10
Enterprises	IBM SPSS Modeler Score 7.8 out of 10
All Alternatives	View all alternatives

User Ratings
	Anaconda
Likelihood to Recommend	9.5 (37 ratings)
Likelihood to Renew	7.0 (1 ratings)
Usability	9.0 (2 ratings)
Support Rating	8.9 (9 ratings)

User Testimonials
	Anaconda
Likelihood to Recommend	Anaconda As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files. Incentivized RV Rounak Verma Data Analyst Read full review
Pros	Anaconda It provides easy access to software like Jupyter, Spyder, R and QT Console etc. Easy installation of Anaconda even without much technical knowledge. Easy to navigate through files in Jupyter and also to install new libraries. R Studio in Anaconda is easy to use for complex machine learning algorithms. Incentivized AC Anomita Chandra Business Analyst Read full review
Cons	Anaconda Although I have generally had positive experiences with Anaconda, I have had trouble installing specific python libraries. I tried to remedy the solution by updating other packages, but in the end, things got really messed up, and I ended up having to uninstall and reinstall a total of about 4 times over the past 2 years. If you have the free version of Anaconda, there is not much support. Googling questions and error messages are helpful, but there were times when I wished I would have been able to ask technical support to help me troubleshoot issues. There were a few times when I tried to install tensorflow and tensorboard via Anaconda on a PC, but I could not get them to install properly. Anaconda allows you to create 'environments' , which allow you to install specific versions of python and associated libraries. You can keep your environments separate so they do not conflict with one another. Anyway, I ended up having to create several 'conda envrionments' just so I could use tensforflow/tensorboard and a few other utilities to avoid errors. This was somewhat annoying, because every time I wanted to run a specific model, I'd have to open up the specific conda environment with the appropriate python libraries. Incentivized Maike Holthuijzen Ph.D student Read full review
Likelihood to Renew	Anaconda 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 Matthew Deakyne Academic Services Manager Read full review
Usability	Anaconda The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system. Incentivized Juande Santander-Vela Software Development Lead / Product Manager at Solution Level Read full review
Support Rating	Anaconda 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 Ryan McGarry Vice President of Research, Neuroscientist Read full review
Alternatives Considered	Anaconda ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics. Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitive Anaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms Incentivized Mauricio Quiroga Senior Cognitive Solutions Consultant Read full review
Return on Investment	Anaconda Positive: Lower maintenance cost compared to other tools on the market Positive: Ease in hiring professionals already accustomed to the tool in the job market Positive: Projects are portable, allowing you to share projects with others and execute projects on different platforms, reducing deployment costs Incentivized Fernanda Ministerio Specialist Read full review
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