MonitUp
Lative
Desklog.io
CMD.exe
AnalyticsVerse
Insightly Analytics
Ignition GTM (Beta)
Basecamp
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
MonitUp keep track of when you turn on and off your employees' computers. MonitUp monitor how long each application is used and which websites are visited. You can automatically take screenshots of the screen every 5 minutes for any desired employee. You can categorize applications as productive, unproductive, or neutral, generating productivity reports for each employee accordingly. With the notification feature, if an unwanted application or keyword is used, it will be reported to you. MonitUp monitor the CPU, RAM, and disk usage of the computers and keep a history of all running applications and resource consumption.
In the near future, we aim to enhance the AI aspect of our platform to provide you with more insights about your employees. For example, we want to identify employees with low motivation, experiencing burnout, or considering resignation and notify you about these issues. This way, you will be able to take preventive measures for your valuable employees before it's too late.
MonitUpBased on our record, NumPy seems to be a lot more popular than MonitUp. While we know about 119 links to NumPy, we've tracked only 3 mentions of MonitUp. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I am no longer satisfied with the hosting I used for MonitUp.com and I want to change it. Source: over 2 years ago
Now we need to increase the sales rate by attracting more visitors to MonitUp.com. On average, there are around 20-30 visitors a day, which is very few. Source: over 2 years ago
I recommend you to use MonitUp to increase the productivity of your teams and your Company. Source: almost 3 years ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
Lative - Increase your growth efficiency with real-time data
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Desklog.io - Free Time Tracking & Productivity Monitoring Software.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
CMD.exe - by SS64.com
OpenCV - OpenCV is the world's biggest computer vision library
