Software Alternatives & Reviews

Matplotlib VS Grafana

Compare Matplotlib VS Grafana and see what are their differences

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Grafana logo Grafana

Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Grafana Landing page
    Landing page //
    2023-10-21

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Grafana videos

Grafana vs Kibana | Beautiful data graphs and log analysis systems

More videos:

  • Review - Business Dashboards with Grafana and MySQL
  • Review - Grafana Labs 2019 Year in Review

Category Popularity

0-100% (relative to Matplotlib and Grafana)
Technical Computing
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Data Science And Machine Learning
Data Dashboard
11 11%
89% 89

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Matplotlib and Grafana

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Grafana Reviews

Top 10 Grafana Alternatives in 2024
Middleware is one such Grafana alternative that offers robust data monitoring and visualization capabilities at affordable prices. Though it’s commercial, unlike Grafana, its rich feature set ensures accommodating your present and future business needs.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Are you looking for Grafana alternatives? Then you have come to the right place. Grafana started as a data visualization tool. It slowly evolved into a tool that can take data from multiple data sources for visualization. For observability, Grafana offers the LGTM stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). You need to configure...
Source: signoz.io
10 Best Grafana Alternatives [2023 Comparison]
For this reason, many have set out in search of Grafana alternatives. Since you’ve landed yourself here, I’m guessing that you’re one of those people. Fear not! We’ve put together a comprehensive list of the 10 best Grafana alternatives out there today.
Source: sematext.com
Top 10 Tableau Open Source Alternatives: A Comprehensive List
When it comes to visualization, Grafana is a great tool for visualizing time series data with support for various databases including Prometheus, InfluxDB, and Graphite. It is also compatible with relational databases such as MySQL and Microsoft SQL Server. While Tableau can do the same thing, Grafana’s open-source status allows the users to add additional data sources and...
Source: hevodata.com
13 tools to use for DevSecOps automation
🔓Grafana is a multi-platform open source analytics and interactive visualization web application that provides charts, graphs, and alerts for the web when connected to supported data sources. Use the Grafana node to manage your dashboards, teams, and users.
Source: n8n.io

Social recommendations and mentions

Based on our record, Grafana should be more popular than Matplotlib. It has been mentiond 197 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.

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / about 1 month ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 3 months ago
  • How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
    Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: almost 1 year ago
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Grafana mentions (197)

  • Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
    Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within... - Source: dev.to / about 2 months ago
  • Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
    To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along. - Source: dev.to / about 1 month ago
  • Monitoring, Observability, and Telemetry Explained
    Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities. - Source: dev.to / about 1 month ago
  • 4 facets of API monitoring you should implement
    Prometheus: Open-source monitoring system. Often used together with Grafana. - Source: dev.to / 2 months ago
  • How to collect metrics from node.js applications in PM2 with exporting to Prometheus
    In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:. - Source: dev.to / 3 months ago
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What are some alternatives?

When comparing Matplotlib and Grafana, you can also consider the following products

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

Prometheus - An open-source systems monitoring and alerting toolkit.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Plotly - Low-Code Data Apps

Zabbix - Track, record, alert and visualize performance and availability of IT resources