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Über Anaconda

Anaconda ist die weltweit beliebteste Plattform für Datenwissenschaft und maschinelles Lernen.

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Vorteile:

Preloaded libraries, support for multiple languages and environments, support for extended libraries, and simple integration of various tools, makes it a must have for coders.

Nachteile:

Performance adjustment is really required for users which use low end systems, especially lower RAM amounts.

Bewertungen zu Anaconda

Durchschnittliche Bewertung

Benutzerfreundlichkeit
4,4
Kundenservice
4,0
Funktionen
4,6
Preis-Leistungs-Verhältnis
4,6

Weiterempfehlungsquote

9,0/10

Anaconda hat eine Gesamtbewertung von 4,6 von 5 Sternen basierend auf 80 Nutzerbewertungen auf Capterra.

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Nutzerbewertungen filtern (80)

Harsh
Harsh
Researcher in Spanien
Verifizierter Nutzer auf LinkedIn
Hochschulbildung, 1.001–5.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Best tool for Python Begineers

5,0 vor 9 Monaten

Vorteile:

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.

Nachteile:

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.

Edwin
Edwin
Administrative Assistant in Kenia
Verifizierter Nutzer auf LinkedIn
Informationstechnologie & -dienste, 11–50 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

In Betracht gezogene Alternativen:

Best software for developing projects from different fields.

4,0 vor 3 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

abir
Trainer in Polen
Professionelles Training & Coaching, 11–50 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Python distribution

3,0 vor 4 Wochen Neu

Vorteile:

It contains almost all the python IDE. Once we download Anaconda all the most needed libraries are already installed.

Nachteile:

When I installed Numpy and Pandas libraries they weren't working on "Pycharm" even when they were working in "VS Code"

Ferhat
Data Warehouse Developer in Türkei
Informationstechnologie & -dienste, 5.001–10.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

In Betracht gezogene Alternativen:

Data Science platform with extensive functionality and ease of version management

5,0 vor 4 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

Yigit
Engineer in Türkei
Unterhaltungselektronik, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Better alternative for Numeric analysis and visualization

5,0 vor 4 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

Tania
Student in Mexiko
Hochschulbildung, 201–500 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Saved my semester!

5,0 vor 2 Jahren

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

Vorteile:

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

Nachteile:

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.

Alejandro
PhD student in Mexiko
Hochschulbildung, 201–500 Mitarbeiter
Verwendete die Software für: 1-5 Monate
Herkunft der Bewertung

Excellente to start coding!

5,0 vor 2 Jahren

Kommentare: Is great! Using multiple softwares in one is the best feature, because some libraries are for r and another for python.

Vorteile:

The interfase is great! You can adapt your screen as you like, and use more features than most of softwares, like python and r.

Nachteile:

There is so much to learn about it that it take time to learn everything.

Moustafa
AI Researcher in Japan
Biotechnologie, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Anaconda Review

4,0 vor 9 Monaten

Kommentare: My overall experience with Anaconda is really very good for developing AI models and do some analytics.

Vorteile:

I like that Anaconda provides the Anaconda prompt tool which enables me to install the packages and libraries I want using the terminal. I like that I can create an endless number of virtual environments on Anaconda where each one of them is related to a certain project. Also, I like that Anaconda is offering some learning tutorial for beginners on how to use it efficiently.

Nachteile:

It takes very long time when switching between 2 environments inside Anaconda. There is no cloud or sync option to help me if I am using Anaconda on multiple devices. Also, I do not like the interface of Anaconda navigator and that I cannot switch to dark mode.

Austin
Austin
Software Analyst in Argentinien
Verifizierter Nutzer auf LinkedIn
Pharmazeutika, 51–200 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Anaconda, the virtual environment MASTER

5,0 vor 7 Monaten

Kommentare: The best thing about Anaconda is that if you break something in an environment, it doesn't replicate to the rest of them, so you can rest assured that you can test things in a safe environment. That feature alone enables you and your team to be even more productive.

Vorteile:

I think the most impactful thing about Anaconda is the freedom to choose what do you want to install on your virtual environments, each and every one is separated like a capsule, providing excellent support on each of those individually.

Nachteile:

I think the first installation of Anaconda could be more user-friendly, sometimes when you first start it could cost to implement but when you start using it, it becomes amazingly powerful.

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Finanzdienstleistungen, 2–10 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Anaconda enviroments

5,0 vor 7 Monaten

Kommentare: Overall it was really usefull for the projects

Vorteile:

Sharing in between envs and in between others

Nachteile:

It is really slow when it's starting up and deleting envs

Barış
Data Scientist in Türkei
E-Learning, 11–50 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Create and manage virtual environment

5,0 vor 2 Jahren

Kommentare: 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.

Vorteile:

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

Nachteile:

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

Felipe
Reserarcher in USA
Bildungsmanagement, 1.001–5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Great platform for analysi tools

4,0 vor 11 Monaten

Kommentare: Overall it is a highly recommended tool for data analysis and development. Must have tool.

Vorteile:

This is a great tool for data scientists and developers. Anaconda platform includes system that includes popular programming languages, libraries, and tools such as Jupyter Notebook, R, and Orange. It is easy to install and manage environments, and it allows for seamless collaboration across teams.

Nachteile:

One downside is that it can take up a lot of space on your computer.

Ailed
Engineer in Mexiko
Hochschulbildung, 1.001–5.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

All in one!

5,0 letztes Jahr

Kommentare: There is a bast library to work with, you just need to focus and search for the answer that you need.

Vorteile:

Anaconda is a great way to integrate the scripts from different code languages, being able to perform better analysis, no limitated to one source.

Nachteile:

The prices can be bearable, but you need to put effort to make it worth.

Vipul
Principal Analyst in Indien
Informationstechnologie & -dienste, 1.001–5.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Amazing development package

5,0 vor 3 Jahren

Vorteile:

I use Anaconda navigator for machine learning with Jupyter notebook. Anaconda's environment provides every app needed for development. We can add libraries through GUI.

Nachteile:

When adding libraries we have to restart Anaconda.

Robert
Developer in USA
Bau, 10.000+ Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Fantastic for Data Analysis

5,0 vor 2 Jahren

Kommentare: I primarily used this for machine learning, general data analysis, and some mundane scripting (in tandem with Powershell depending on the situation).

Vorteile:

Installation was easy, and the cost can't be beat. I really like the UI compared to other scripting or coding interfaces; it seems much more approachable. No issues encountered using pandas or numpy, and everything else also worked as expected. The standard installation includes not only support for python-based stuff, but also command line and powershell (for those windows users out there). You can also install R and PyCharm but I'm not sure if those incur some sort of licensing. Bottom line is it supports a ton of different functionality.

Nachteile:

My machine is beefy, but I could understand how using local compute on a weaker machine could be frustrating. I also had to fuss a little bit with the references/included paths to find Python packages I wanted to use. Once I got it all figured out it was smooth sailing, though.

Kareem
Kareem
Student in Ägypten
Verifizierter Nutzer auf LinkedIn
Computer-Software, 201–500 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Anaconda tss tss

5,0 letztes Jahr

Vorteile:

Anaconda is a great environment with too many IDEs that suit data science, machine learning, and dataanalysis learners.

Nachteile:

installing libraries to anaconda using conda terminal is buggy and confusing.

Moustafa Medhat
Moustafa Medhat
Student in Ägypten
Verifizierter Nutzer auf LinkedIn
Medizinische Geräte, 10.000+ Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

My Experiance with Anaconda

4,0 vor 2 Jahren

Kommentare: My overall experience is very good as Anaconda is the option I choose while writing code

Vorteile:

I like the interface of Anaconda as it is so minimalistic and all options can be understood easily especially for beginners. Also, I love the short-cuts at Anaconda as it saves a lot of my time. I like the ability to create a lot of environments and switch between them easily.

Nachteile:

I don't like that there is no dark mode at Anaconda and that I have to call an external package to do so. Anaconda consumes a lot of RAMs and sometimes I face some lags.

Christopher
Student in Mexiko
Versicherung, 1.001–5.000 Mitarbeiter
Verwendete die Software für: 1-5 Monate
Herkunft der Bewertung

Great Software

4,0 vor 3 Jahren

Vorteile:

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.

Nachteile:

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.

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Versicherung, 1.001–5.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Great Product for Python Users

5,0 vor 2 Jahren

Kommentare: Used it to develop models in Python

Vorteile:

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

Nachteile:

It takes some getting used to to navigate the environment.

Onur
Onur
Product Development Engineer in Türkei
Verifizierter Nutzer auf LinkedIn
Automotive, 5.001–10.000 Mitarbeiter
Verwendete die Software für: 1-5 Monate
Herkunft der Bewertung

A tool for Python based analytics

5,0 vor 4 Jahren

Kommentare: I'm using it for managing Python packages. It's very easy to use for beginners .

Vorteile:

It supports a lot of data analysis tools. Managing multiple environments is very efficient for teams who works on different environments.

Nachteile:

It's very slow on big tasks on low end computers. Performance adjustment is really required for users which use low end systems, especially lower RAM amounts.

Prince
Software Developer in Ghana
Computer-Software, 2–10 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Easily deploy data Science projects with Anaconda

5,0 vor 3 Jahren

Vorteile:

Anaconda has a package manager that allows you to install extra packages, thus adding more functionality to your projects.

Nachteile:

Consumes a lot of computer memory and has a not so good UI

Spandan
Developer in USA
Versicherung, 501–1.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Anaconda

4,0 vor 5 Jahren

Vorteile:

I think this is the best way of setting up Python/ML environments on Windows

Nachteile:

A little clunky and heavy. I prefer just using the prompt rather than GUI

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Bürgerliche & soziale Einrichtungen, 501–1.000 Mitarbeiter
Verwendete die Software für: 1-5 Monate
Herkunft der Bewertung

Anaconda review

5,0 vor 2 Jahren

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

Vorteile:

The app does an overall good job of predictive modeling.

Nachteile:

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

Essence
Professor in USA
Bildungsmanagement, 51–200 Mitarbeiter
Verwendete die Software für: 1-5 Monate
Herkunft der Bewertung

I not as scary as you think

5,0 vor 5 Monaten

Kommentare: Honestly, its pretty wonderful. Look forward to using it more

Vorteile:

I really like Anaconda, as someone relatively new to machine learning devices, using this definitely helps makes the experience smoother

Nachteile:

It is definitely a learning curve. I am currently take a course just to truly understand its mechanics. However, once you truly learn it, it is not so bad.

Atif
Atif
Software Developer in Pakistan
Verifizierter Nutzer auf LinkedIn
Gastgewerbe, 2–10 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Best package manage for Python

5,0 vor 3 Jahren

Kommentare: I have used it initially as part of a code. But since then, I have always used it when I work with python

Vorteile:

Ease of use Easy to manage packages Easy to switch package versions jupyterlab is embedded to develop notebooks

Nachteile:

Heavy to download Take much longer time especially if you are on slow internet Needs some time to understand how to manage versions of packages