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
BrightGauge
Score 8.5 out of 10
N/A
BrightGauge is a BI tool from ConnectWise that puts essential information in one place, providing visibility for more informed decisions. The user can customize BrightGauge dashboards and sync other business tools in its BI dashboard software for ultimate visibility. Users can also display data with embeddable gauges on public sites.
I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.
BrightGauge lets us know when we have critical issues that need solving. A massive influx of tickets all at the same time triggers an investigation. Usually, it is tied to a server going down, which we can address. It would not be helpful for a small MSP or IT department with just a few daily tickets. The stats are better used to track a large amount of clients.
Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
Annual or more than annualized data is desperately needed for MSPs to show trends, current limitation is previous 240 days for ConnectWise tickets
Alerts when datasets do not sync properly, I have to rely on my team to notice vs get an automated alert from BrightGauge
Small thing, but it would be nice to have more options on the report scheduler to enable a start date. If you wish to do it quarterly, you have to start the schedule exactly 3 months from the next run.
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.
I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.
Usability is BrightGauge's strength. Granting the ability of virtually any user to be able to create a dashboard is incredibly valuable. If an organization very simple and straight forward reporting needs then BrightGauge is a perfect fit for them. Connecting to the dataset we used was very quick and easy and I imagine it would be the same for any major data source you would like to pull from.
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.
Anytime I have reached out to the BrightGauge support team they have been quick, responsive, and solved my issue. They go out of their way to be helpful!
I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
I'm not aware of any other competitors to Bright Gauge that we selected. They seem to be very close to managed IT service providers and have been great at tailoring their support to the PSAs like ConnectWise, AutoTask, etc. I can see Bright Gauge getting more and more popular as time goes by
It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
