Substly
Cledara
Zylo
Torii
Hapstack
TrackMySubs
Key Subscriptions
Vendr
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
Substly helps small and medium-sized companies reduce SaaS sprawl by providing an easily accessible overview and simplifying the processes around SaaS management.
The product offers enterprise-level features at an entry-level price; this tool provides insights into SaaS usage and helps identify user frustrations. It also helps optimize SaaS spending by providing alerts before renewals and eliminating spending on unused accounts. Additionally, it helps avoid unauthorized access to company data by improving employee off-boarding, allowing departments/teams to minimize SaaS sprawl and share an overview with other stakeholders.
Customers highlight the following four aspects of Substly’s product: - The overview and the control it leads to (regarding costs & who has access) - Great for showcasing status/costs internally - The simplicity of the system - Easy to get started (intuitive and short learning curve)
SubstlyWe have a ton of Saas tools. Before using Substly they were scattered around. Now everything is in one place which has made it much easier for us, especially when we are off-boarding someone. Easy to overview and great value for the money.
Overview - gather everything in one place have improved the visibility of all our subscriptions, quick implementation, improved cost control, User friendly,
Using Substly has given us a better understanding of how we use our SaaS-apps and improved our ability to manage software licenses, resulting in better decision-making and cost savings. Substly's overview feature has been particularly helpful in this regard. Additionally, the offboarding feature has streamlined the process of removing software access for departing employees.
Based on our record, NumPy seems to be more popular. It has been mentiond 119 times since March 2021. 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.
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 / 9 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 / 10 months ago
The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
Cledara - We help companies bring visibility and control to their ever-growing #SaaS stack.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Zylo - Zylo helps organizations optimize their SaaS investments by providing insights around Spend, Utilization, and User Feedback.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Torii - SaaS Management Software.
OpenCV - OpenCV is the world's biggest computer vision library
