Anaconda Reviews & Product Details

I work as a machine learning developer and also as a data scientist. I have installed Anaconda due to it's huge library support. The software has been leading the industry for the last few years, and it has a vast community which makes the customer support very simple and fast. I use it every day. For instance, you may have different product at a single place, which I keep on using Anaconda. Amongst many tools, I do decide on it due to answer that I can see in the documentation. Review collected by and hosted on G2.com.

The anaconda software is also very heavy and big in size. This program consumes a lot of memory to be operated. Certainly 8GB RAM is required to make this function and even in that case it will feel sluggish while working with some libraries Review collected by and hosted on G2.com.

Data analysis made easy, UI navigation is easy Review collected by and hosted on G2.com.

I did not encounter such case as of now. Review collected by and hosted on G2.com.

It helps me code on jupyter notebook, which is very easy to use Review collected by and hosted on G2.com.

No automatic backup. can result in losing of data if not backed up properly Review collected by and hosted on G2.com.

It provides the best features for Python development, along with the best packages Review collected by and hosted on G2.com.

Nothing major to dislike at this point. If O have to mention something, the large size. Review collected by and hosted on G2.com.

Anaconda's platform is very easy to use. It can be understood pretty well by beginners which makes it beginner friendly and user friendly. Personally, I use Anaconda because it does the job even after being open source. It's package management ability is the best. One cam find every package in Anaconda environment. It's also good for using virtual environments. Review collected by and hosted on G2.com.

Although, one cannot find any disadvantages in Anaconda, there may be some problems if someone has a smaller machine. As Anacnda comes with a lot of packages, it uses a lot of space and memory. Review collected by and hosted on G2.com.

It's easy to install and beginner freindly which makes it the best tool. Its upside is that it has multiple tools inside and my favourite is jupyter notebook. Review collected by and hosted on G2.com.

I don't believe it has any advantages but it takes time to open. Review collected by and hosted on G2.com.

I really like how Anaconda makes coding feel like a breeze. The best part is the simplicity - installing and managing all the tools I need is super easy. It's like a magic box that brings everything together for smooth coding adventures. The variety of packages and the way it handles data science tasks? Just awesome! Anaconda truly takes the hassle out of setting up, so I can focus more on my code and less on technical headaches. Thumbs up for making my coding journey so much smoother! Review collected by and hosted on G2.com.

While Anaconda is great, I've found a couple of hiccups. Sometimes, it feels a bit heavy on my computer, making things a tad slow. Also, updates can be a bit tricky - I wish it were smoother. But hey, despite these small bumps, Anaconda still rocks for coding ease! Review collected by and hosted on G2.com.

Anaconda is home to several open source platforms; orange, tableau,IBM watson Studio, etc. Here you can test and validate AI/ML algorithms and analytical models for deployment on cloud. These analytical models are integratable or transferable to large platforms like, AWS, IBM or Microsoft Azure, etc. Review collected by and hosted on G2.com.

There isn't much to dislike about it as it's continually being updated and can configure several AI libraries to work with.

There're several versions of it and yes shifting from one version to other may let you loose some features of your model that was run on an older version before but it lets you rebuild it. Review collected by and hosted on G2.com.

It has a large set of apps for data science development, like Jupyter lab and Jupyter notebooks Review collected by and hosted on G2.com.

It takes a lot of time to start, and consumes high amount of CPU Review collected by and hosted on G2.com.

During my final year project "Identifying and marking player during live matches" I used most of the features like Spider, Notebook, Jupiter Notebook.

It's easy to implement solutions in anaconda. The latest feature that I checked recently is Anaconda is now available over clouds. Anaconda comes with CONDA which is very helpful to manage multiple environment. Review collected by and hosted on G2.com.

Can't think of more, but screen has very less themes. Another is loading time of navigator, It took a lot. Review collected by and hosted on G2.com.