Colaboratory for G Suite Reviews & Product Details

I like that you can open and run and develop code, especially python code. The built in modules are excellent too as you do not need to download them to your local machine. It is a 'cloud' application which is great and a very powerful tool. Review collected by and hosted on G2.com.

Sometimes there are issues calling in modules that are not already built into Colab. Review collected by and hosted on G2.com.

1. Just upload your python code and related input files of your Machine learning model in the Google Drive, and start running your code in Colab Notebook.

2. You can select GPU to accelerate the speed of your code to take advantage of multi-threading/processing features of GPU.

3. Store the results in Google Drive.

4. Very easy to use. Your google drive is just like a folder on your PC, and Colab Notebook is like a python interpreter. Combination of both makes your machine learning model execution on the cloud very simple. And after the run, you can just download your results file from the Google drive.

5. Since everything runs on the server, there is no load on your PC. Your PC can be used for other tasks simultaneously.

6. If you don't have more RAM on your PC, You can easily run the computationally intensive task on Colab Notebook with GPU.

7. You can add the text in your Notebook along with the code, and share the Notebook. Review collected by and hosted on G2.com.

1. Please add a python file editor in the Google drive so that we don't have to modify the python files locally and upload it to Google drive and then rerun on Colab Notebook. It becomes frustrating when there are frequent changes required in the code.

2. Sometimes Colab Notebook doesn't recognize the edited code file and runs on the previous version of the file. To overcome this, I need to refresh the google drive and Colab notebook every time I re-upload the edited python file to the Google Drive.

3. Can't run python code that does intensive computation on the big dataset. (Memory related error comes)

4. The execution sometimes takes a long time even with GPU. Review collected by and hosted on G2.com.

This is a great tool for basic analysis in collab. I had a few issues with codes and functions, but overall a good tool. It's missing some big components that other analysis tools have, including data studio from Google. The best feature is it's integration with Google Drive, being the main reason I used this tool. Review collected by and hosted on G2.com.

Too many issues with codes, not an easy tool to deal with. Steep learning curve if you're not in the coding field. Drive integration is good, just not that great as expected. It takes quite some time to get to the core features of this tool and to be able to use it in general. Review collected by and hosted on G2.com.

The best part about Google Colaboratory is that it lets you collaborate your work with the team. You can share your Colaboratory link with your team to work on it. Google provides free GPUs to work on. Review collected by and hosted on G2.com.

The runtime disconnects if not used for a long time. You can mount your Google Drive to the Colaboratory, however it gets unmounted if the data is large in size. Review collected by and hosted on G2.com.

It is easy to work with and it has great set of features which makes the workflow easy . It allows to create a new python notebook easily and it provides free CPU / GPU / TPU resources to run the code . The ability to share the notebook with others or download it in different formats like html or ipynb is awesome. It has great support for shortcuts and is easy to use. Since it works in the browser, you can use it on any platform. One can easily upload their dataset in google drive, connect it with colab and start experimenting with it. A lot of useful packages are preinstalled and it is easy to install new ones. Also, the documentation has great examples which shows it's capabilities. Review collected by and hosted on G2.com.

There is nothing to dislike about it . It seems to be heading in the right direction and has great features. Review collected by and hosted on G2.com.

- Can share code easily

- Eager execution of code

- Awesome syntax highlighting

- Ability to see code and its results as small chunk Review collected by and hosted on G2.com.

- Sometimes kernel restarts automatically

- Sometimes syntax highlighting is slow

- Python 2/Python 3 support is sometimes choked now. Not that is bothers me a lot. Although, of course, it would be way more convenient for us to have this resolved sooner than later. A bit, a little bit of inconvenience for now. Not a big deal though. Don't sweat over it. Review collected by and hosted on G2.com.

Google Colab has me excited to try machine learning in a similar way as using Jupyter notebooks, but with less setup and administration. Not only is this a great tool for improving your coding skills, but it also allows absolutely anyone to develop deep learning applications using popular libraries such as PyTorch, TensorFlow, Keras, and OpenCV. Review collected by and hosted on G2.com.

Google colab appears to be very slow at loading images from my google drive to use in a convolutional neural network. Also, it supports Python 2.7 and 3.6, but not R or Scala yet. There is a limit to your sessions and size, but you can definitely get around that if you’re creative and don’t mind occasionally re-uploading your files Review collected by and hosted on G2.com.

This tool has streamlined my code creation and minimized time spent deciphering code between tools. I love the fact that it can combine both code and text together. Review collected by and hosted on G2.com.

The disadvantages of this tool is little, but it still has impacted my work. I've downloaded it before and it says it's broken, which can be frustrating having to redownload it after opening sometimes. Wish they could fix this bug. Review collected by and hosted on G2.com.

Very fast to run. Comes with almost all the python modules. It has most of the modules like networkx, matlablib. The graph generation is easy. Review collected by and hosted on G2.com.

Uploading external files is slow. Larger the file is, harder it is to upload it in less time. Review collected by and hosted on G2.com.

This the best online tool available when it comes to machine learning and neural networks. Not only is it free but it also provided tremendous compute resources Review collected by and hosted on G2.com.

The data upload and download functionalities are still basic. For smaller files, it won't create many challenges but for larger files, it might be difficult Review collected by and hosted on G2.com.