
Zluri
Zylo
Torii
Vendr
Blissfully
Cledara
Spendflo
Sastrify
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Zluri is a cloud-native SaaSOps platform enabling modern enterprises with SaaS Management and Identity Governance. Zluri empowers IT and Security teams to gain visibility into their SaaS landscape, unlock recurring savings, & securely govern access with provisioning and de-provisioning. Zluriโs technology is powered by a deep discovery engine, in-built iPaas and its evolving AI, enabling companies to easily navigate & control complex SaaS ecosystems.
Trusted by over 250 global customers, Zluri is committed to delivering innovative, reliable, and scalable solutions that empower organizations to optimize their SaaS usage, ensure compliance, and enhance identity governance practices.
Zluri
MatplotlibZluri is particularly recommended for mid to large-sized enterprises that are heavily reliant on multiple SaaS applications. It's ideal for IT departments aiming to improve software spend visibility, compliance teams looking to enhance security protocols, and financial teams focused on reducing wastage associated with unused or underutilized software subscriptions.
Based on our record, Matplotlib seems to be more popular. It has been mentiond 114 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.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Zylo - Zylo helps organizations optimize their SaaS investments by providing insights around Spend, Utilization, and User Feedback.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Torii - SaaS Management Software.
NumPy - NumPy is the fundamental package for scientific computing with Python
Vendr - Vendor Management Services for high-growth companies. Renewal Management, Price Benchmarking, Contract Logistics
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.