Software Alternatives, Accelerators & Startups

GanttPRO VS Matplotlib

Compare GanttPRO VS Matplotlib and see what are their differences

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GanttPRO logo GanttPRO

GanttPRO is online Gantt chart software for project management. CEOs, project managers, and teams use it every day to solve project management challenges.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • GanttPRO Landing page
    Landing page //
    2021-06-17

GanttPRO is project management software based on Gantt charts. It has an intuitive and visually appealing interface what makes it stand out among competitors. Besides, it comes with a robust set of features: - Advanced task management. - Progress tracking. - Different project views: a Gantt chart timeline, Board view, My tasks list, and more. - Resource management and workload. - Drag & drop dependencies. - Baselines. - Critical path, Auto scheduling. - Time log. - Team collaboration. - Export to PDF, PNG, Excel. - Import from Excel, MS Project. - Sharing via Public URL. - Project portfolio management. - And more.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

GanttPRO features and specs

  • Task management
  • Resource Management
  • Team Collaboration
  • Time Tracking
  • Gantt Chart
  • Gantt Timeline
  • Boards View
  • Export to CSV
  • Sharing
  • Project Management
  • Project Tracking
  • Project Planning
  • Project Budgeting
  • dependencies

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of GanttPRO

Overall verdict

  • Overall, GanttPRO is considered a good choice for anyone looking for a feature-rich and user-friendly project management tool centered around Gantt charts. It effectively aids in project planning, visualization, and management, making it a valuable asset for managing both simple and complex projects.

Why this product is good

  • GanttPRO is a project management tool that is highly regarded for its intuitive interface, robust set of features, and ability to facilitate collaboration among team members. It offers Gantt chart-based project planning, time and resource management, project tracking, and task assignments, making it suitable for both small teams and large organizations. Many users appreciate its ease of use, integration capabilities with other tools, and customer support.

Recommended for

    GanttPRO is recommended for project managers, team leaders, and professionals across various industries who need effective planning and tracking tools. It's especially useful for organizations that prefer visual project timelines and require efficient time and resource management. It's also suitable for teams of different sizes, from startups to large enterprises.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

GanttPRO videos

GanttPRO - online project management solution based on Gantt charts

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to GanttPRO and Matplotlib)
Project Management
100 100%
0% 0
Data Science And Machine Learning
Task Management
100 100%
0% 0
Technical Computing
0 0%
100% 100

Questions & Answers

As answered by people managing GanttPRO and Matplotlib.

What makes your product unique?

GanttPRO's answer

GanttPRO is focused on delivering the best Gantt chart on the market that will let you visualize tasks, create dependencies and milestones, manage resources, their workload, and budget, track progress and time - all on a Gantt chart timeline.

At the same time, GanttPRO offers other views for even more comprehensive project management: Kanban-style board, list, calendar, dashboard with in-depth analytics, and portfolio view in case you manage multiple projects.

All this comes with an intuitive interface and affordable pricing plans.

Why should a person choose your product over its competitors?

GanttPRO's answer

GanttPRO is an ideal tool when you need to know who and when is responsible for what task.

Choose it when you value:

  • Clear visual planning. An intuitive Gantt chart transparently shows tasks, dependencies, milestones, dates, and deadlines.
  • Big picture view of multiple projects. For that, the software offers portfolio management.
  • A single place for all project related activities. Youโ€™ll get real-time team collaboration, time tracking, budget and resource management, reports, and analytics.
  • Third party involvement. You can directly show your project stages to stakeholders, clients, and any other engaged participants who are not registered in the tool. For that, choose from 2 options: export or shared private link.

How would you describe the primary audience of your product?

GanttPRO's answer

GanttPRO is ideal when you need to know who is responsible for a particular task and when.

The tool is used in a variety of industries: construction, IT/software development, manufacturing, marketing, healthcare, event management, retail, consulting, and many more.

GanttPRO will be helpful for everyone who needs a single place to manage their projects. Project managers and big teams with numerous tasks especially value the software.

What's the story behind your product?

GanttPRO's answer

It all started in 2014. The team that stood at the origins realized that there were no tools on the market that could help them comprehensively work on tasks and projects with a full picture at hand. With that in mind, the goal was set - to create the best Gantt chart experience for project management.

Years later, GanttPRO has 1M+ registered users and hundreds of awards from leading software review platforms.

Who are some of the biggest customers of your product?

GanttPRO's answer

  • NASA.
  • Sony.
  • Nvidia.
  • Booking.com.
  • Nestle.
  • Michelin.
  • DHL.
  • Salesforce.

User comments

Share your experience with using GanttPRO and Matplotlib. For example, how are they different and which one is better?
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Reviews

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

GanttPRO Reviews

50 Best Project Management Tools for 2019
GanttPRO is one of the best pm software, appreciated already by 250k project managers around the globe. It helps build project plans and timelines, track workflow, control expenses, ร‚ follow deadlines, and arrange productive collaboration in a single place. The solution offers ready-made templates for an easy start.
The Top 9 Wrike Alternatives For Project Management in 2019 (Free & Paid!)
If youโ€™re in love with Gantt charts, youโ€™ll love GanttPro. You only need a few minutes to become proficient usersโ€“itโ€™s that simple to understand. You plan the projects and GanttPro fits them on your timeline automatically. The drag-and-drop timeline is also an amazing feature to quickly reschedule your workflow if too many things overlap.
Source: clickup.com

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 doesnโ€™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...

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than GanttPRO. 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.

GanttPRO mentions (28)

  • 5 Instagantt Alternatives That Can Do Better
    GanttPRO is a user-friendly Gantt chart generator that provides a balance between simplicity and powerful functionality. It is designed for project managers and their teams who need a clear overview of their projects and tasks without the complexity of some more comprehensive project management tools. - Source: dev.to / over 1 year ago
  • 5 Must-Have Milestone Tools for Effective Project Planning
    This Gantt chart generator allows for the creation of detailed project plans with milestones, dependencies, and timelines. Its intuitive interface makes it easy to set up and adjust milestones, track progress, and collaborate with team members. - Source: dev.to / over 1 year ago
  • Best Project Portfolio Management Software: 3 Amazing Solutions for Project Teams
    This powerful Gantt chart maker is an ideal choice for managing multiple projects. Its drag-and-drop interface simplifies scheduling, task prioritization, and progress tracking. - Source: dev.to / over 1 year ago
  • Gantt Chart With Resource Allocation: The Power of the Robust Tool + 3 Reliable Examples
    This award-winning Gantt chart creator perfectly suits the needs of project management. With the help of GanttPRO, teams can easily create unlimited projects and work with unlimited resources, even using a free trial. - Source: dev.to / over 1 year ago
  • Critical Path Software for Project Teams: Top 3 Solutions
    GanttPRO is a user-friendly project management solution that is widely known as a multifunctional Gantt chart maker. It provides a convenient way to visualize project plans without the risk of missing out on anything important. - Source: dev.to / over 1 year ago
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Matplotlib mentions (114)

  • The soul file
    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
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s 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
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    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
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    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, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

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

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

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

Instagantt - Instagantt is a powerful and intuitive Gantt chart tool to enable teams to plan, manage and visualize their projects easily. Manage your schedules, tasks, timelines, and workload like a Pro. Try it for free.

NumPy - NumPy is the fundamental package for scientific computing with Python

Teamgantt - Project Management Software Company

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.