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En savoir plus sur Anaconda

Anaconda est une plateforme de science des données open source populaire pour Python qui facilite l'analyse de données.

En savoir plus sur Anaconda

Avantages :

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.

Inconvénients :

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

Anaconda - Notes

Note moyenne

Facilité d'utilisation
4,4
Service client
4,0
Fonctionnalités
4,6
Rapport qualité-prix
4,6

Probabilité de recommander le produit

9,0/10

Anaconda a reçu une note globale de 4,6 étoiles sur 5 d'après 80 avis d'utilisateurs publiés sur Capterra.

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lafia
Développer fullstack (Bénin)
Logiciels, Auto-entrepreneur
Temps d'utilisation du logiciel : Essai gratuit
Source de l'avis

Anaconda, meilleur outils environnement python

4,0 il y a 8 mois

Avantages :

Anaconda permet de créer facilement des environnements isolés, ce qui facilite le développement de mes projets avec des dépendances différentes, aussi Il inclut un gestionnaire de packages (conda) qui simplifie le téléchargement et l'installation de packages, même non-Python.

Inconvénients :

Anaconda propose son propre gestionnaire de packages (conda), ce qui peut entraîner une certaine confusion avec l'utilisation de pip, le gestionnaire de packages Python standard.

GnimWazou Gaston
Student (France)
Recherche, Auto-entrepreneur
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

My opinion

5,0 il y a 2 ans

Avantages :

Anonconda regroupe un ensemble de logiciels avec la possibilité d'ajouter les packages facilement. Ayez vos environnement de programmation en un. Choisissez Anaconda

Inconvénients :

La taille de Anoconda le rend parfois insuportable pour certains ordinateurs.

Harsh
Harsh
Researcher (Espagne)
Utilisateur LinkedIn vérifié
Enseignement supérieur, 1 001–5 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Best tool for Python Begineers

5,0 il y a 11 mois

Avantages :

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.

Inconvénients :

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 (Kenya)
Utilisateur LinkedIn vérifié
Services et technologies de l'information, 11–50 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Alternatives envisagées précédemment :

Best software for developing projects from different fields.

4,0 il y a 3 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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 (Pologne)
Formation professionnelle et coaching, 11–50 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Python distribution

3,0 il y a 3 mois

Avantages :

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

Inconvénients :

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 (Turquie)
Services et technologies de l'information, 5 001–10 000 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Alternatives envisagées précédemment :

Data Science platform with extensive functionality and ease of version management

5,0 il y a 4 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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 (Turquie)
Électronique grand public, 10 000+ employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Better alternative for Numeric analysis and visualization

5,0 il y a 4 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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 (Mexique)
Enseignement supérieur, 201–500 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Saved my semester!

5,0 il y a 2 ans

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

Avantages :

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

Inconvénients :

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 (Mexique)
Enseignement supérieur, 201–500 employés
Temps d'utilisation du logiciel : 1 à 5 mois
Source de l'avis

Excellente to start coding!

5,0 il y a 2 ans

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

Avantages :

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

Inconvénients :

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

Austin
Austin
Software Analyst (Argentine)
Utilisateur LinkedIn vérifié
Produits pharmaceutiques, 51–200 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Anaconda, the virtual environment MASTER

5,0 il y a 9 mois

Commentaires : 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.

Avantages :

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.

Inconvénients :

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.

Divyang
Divyang
Web Developer (Inde)
Utilisateur LinkedIn vérifié
Services et technologies de l'information, 201–500 employés
Temps d'utilisation du logiciel : 6 à 12 mois
Source de l'avis

Preloaded Development Tool

4,0 il y a 4 ans

Commentaires : Industry which recruits new comers more or starting new branch in data science especially, this tool can be boon to them. Very easy for beginners to get along and all-in-one package which is also compact in size.

Avantages :

Most of the tools like PyCharm or Eclipse etc. requires to download packages when you need during development like numpy, panda more if you need, and many new trainees face problem while setting up the dependencies. Anaconda isnsaviour for them. With already loaded packages that are frequently used and it also helps to set up dependencies in future. Setting up Anaconda and its components like Jupiter Notebook are quite easy with many tutorials available online, but even without that installation is easy. Along with Python, it supports many other popular language like R. Community support is great.

Inconvénients :

Heavy load on memory and cpu on start up. Hence, specifications need to be above average if you are using for personal use. Many functionalities are provided for free but other complex functionalities specially in the field of data science and analyticsy, it require to purchase premium services. If your code get about few hundreds of lines, it might be difficult to navigate to specific module. Need some changes like Sublime to see the text zoomed out so it would be easy to find the part in a code.

Utilisateur vérifié
Utilisateur LinkedIn vérifié
Services financiers, 2–10 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Anaconda enviroments

5,0 il y a 9 mois

Commentaires : Overall it was really usefull for the projects

Avantages :

Sharing in between envs and in between others

Inconvénients :

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

Moustafa
AI Researcher (Japon)
Biotechnologie, 10 000+ employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Anaconda Review

4,0 il y a 11 mois

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

Avantages :

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.

Inconvénients :

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.

Felipe
Reserarcher (É.-U.)
Gestion de l'enseignement, 1 001–5 000 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Great platform for analysi tools

4,0 l’année dernière

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

Avantages :

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.

Inconvénients :

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

Ailed
Engineer (Mexique)
Enseignement supérieur, 1 001–5 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

All in one!

5,0 l’année dernière

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

Avantages :

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

Inconvénients :

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

Vipul
Principal Analyst (Inde)
Services et technologies de l'information, 1 001–5 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Amazing development package

5,0 il y a 3 ans

Avantages :

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.

Inconvénients :

When adding libraries we have to restart Anaconda.

Robert
Developer (É.-U.)
Construction, 10 000+ employés
Temps d'utilisation du logiciel : 6 à 12 mois
Source de l'avis

Fantastic for Data Analysis

5,0 il y a 2 ans

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

Avantages :

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.

Inconvénients :

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.

Gregor
Senior Operations Executive (R.-U.)
Services et technologies de l'information, 1 001–5 000 employés
Temps d'utilisation du logiciel : 1 à 5 mois
Source de l'avis

Really useful for running complex Python scripts

5,0 il y a 2 ans

Commentaires : Running scripts essential for carrying out our payment processes - this involves a highly complex function that integrates data from Metabase. This is run through Jupyter Notebook within Anaconda.

Avantages :

It's really well-integrated with our Metabase data - I can run a highly complex Python script through Jupyter Notebook within Anaconda to acquire data that would otherwise be hugely time-consuming to collect. I also like how it's integrated with IBM Watson Cloud Studio for better data visualisation.

Inconvénients :

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. To be honest I still don't know why my script only runs through Jupyter Notebook within Anaconda - and there doesn't seem to be an easy way to find out?

Moustafa Medhat
Moustafa Medhat
Student (Égypte)
Utilisateur LinkedIn vérifié
Appareils médicaux, 10 000+ employés
Temps d'utilisation du logiciel : 6 à 12 mois
Source de l'avis

My Experiance with Anaconda

4,0 il y a 2 ans

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

Avantages :

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.

Inconvénients :

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 (Mexique)
Assurance, 1 001–5 000 employés
Temps d'utilisation du logiciel : 1 à 5 mois
Source de l'avis

Great Software

4,0 il y a 3 ans

Avantages :

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.

Inconvénients :

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.

Utilisateur vérifié
Utilisateur LinkedIn vérifié
Assurance, 1 001–5 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Great Product for Python Users

5,0 il y a 2 ans

Commentaires : Used it to develop models in Python

Avantages :

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

Inconvénients :

It takes some getting used to to navigate the environment.

Onur
Onur
Product Development Engineer (Turquie)
Utilisateur LinkedIn vérifié
Automobile, 5 001–10 000 employés
Temps d'utilisation du logiciel : 1 à 5 mois
Source de l'avis

A tool for Python based analytics

5,0 il y a 4 ans

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

Avantages :

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

Inconvénients :

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.

Kimberly
Kimberly
Biostatistician (É.-U.)
Utilisateur LinkedIn vérifié
Biotechnologie, 2–10 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Great tools for analyzing big datasets!

5,0 il y a 8 mois

Avantages :

I really like that it provides multiple tools for analyzing large datasets in R and Python.

Inconvénients :

Rstudio can be difficult to launch sometimes.

Spandan
Developer (É.-U.)
Assurance, 501–1 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Anaconda

4,0 il y a 5 ans

Avantages :

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

Inconvénients :

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

Utilisateur vérifié
Utilisateur LinkedIn vérifié
Organisme social ou civique, 501–1 000 employés
Temps d'utilisation du logiciel : 1 à 5 mois
Source de l'avis

Anaconda review

5,0 il y a 2 ans

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

Avantages :

The app does an overall good job of predictive modeling.

Inconvénients :

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