Software Alternatives, Accelerators & Startups
Register | Login

Submittable VS Matplotlib

Compare Submittable VS Matplotlib and see what are their differences

Finblick
Salesforce-native accounting software for quotes, invoices, e-invoices (XRechnung, ZUGFeRD), DATEV integration, bank sync, and SEPA payments โ€“ no external tools needed. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Submittable logo Submittable

Submittable is an easy-to-use online submission manager.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Submittable Landing page
    Landing page //
    2023-09-13
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Submittable features and specs

  • User-Friendly Interface
    Submittable offers an intuitive and easy-to-use interface for both submitters and reviewers, which simplifies the submission and review process.
  • Streamlined Workflow
    The platform supports a streamlined workflow with automated email notifications, task assignments, and status tracking, improving efficiency in managing submissions.
  • Customizable Forms
    Users can create fully customizable submission forms tailored to their specific needs, allowing for more precise data collection.
  • Collaboration Tools
    Submittable provides robust collaboration tools, allowing multiple reviewers to provide feedback, discuss submissions, and make collective decisions.
  • Analytics and Reporting
    The platform offers detailed analytics and reporting features, enabling users to track submission trends, reviewer activity, and overall performance.

Possible disadvantages of Submittable

  • Pricing
    Submittable can be expensive, especially for smaller organizations or individuals, as pricing scales with the volume of submissions and additional features.
  • Limited Free Plan
    The free plan offered by Submittable is quite limited in terms of features and submission volume, necessitating an upgrade for more robust needs.
  • Learning Curve
    While the interface is user-friendly, there can be a learning curve for new users to fully utilize all the advanced features and functionalities.
  • Customization Limitations
    Although forms are customizable, some users may find limitations in customizing the broader workflow and integration aspects to fit their unique requirements.
  • Dependency on Internet
    As a cloud-based platform, Submittable requires a reliable internet connection for access, which can be a drawback in areas with poor connectivity.

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 Submittable

Overall verdict

  • Yes, Submittable is considered a good platform.

Why this product is good

  • Submittable is a widely-used submission management platform known for its user-friendly interface, comprehensive features, and flexibility in handling a range of submission types. It is praised for streamlining the process of collecting and reviewing submissions, offering customization options for forms, and facilitating effective communication between submitters and administrators. Users appreciate its robust reporting tools and integrations with other services.

Recommended for

    Submittable is recommended for organizations and individuals who need an efficient way to manage and review submissions, such as literary journals, film festivals, grant programs, and scholarship providers. It's well-suited for teams that require collaboration in the decision-making process and for those seeking to enhance their submission workflows with automated tools.

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.

Submittable videos

+ Add

Submittable: Accept and review any digital content

More videos:

  • Review - What is Submittable?
  • Review - Submittable: Submissions made simple

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Submittable and Matplotlib)

Submittable

Matplotlib

ERP
100 100%
ERP
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Event Management
100 100%
Event Management
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using Submittable and Matplotlib. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Submittable Reviews

We have no reviews of Submittable yet.
Be the first one to post

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.
Source: www.technotification.com
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.
Source: searchbusinessanalytics.techtarget.com
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.
Source: www.analyticsvidhya.com
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...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Submittable. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of Submittable. 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.

Submittable mentions (5)

  • Looking for art zines
    Try checking out Submittable https://submittable.com/ and Chillsubs https://chillsubs.com/ to look for journals, zines and other publications that are seeking art :) Good luck! Source: almost 4 years ago
  • [HELP] How to publish as a new poet.
    You send them into literary magazines & journals. chillsubs.com + submittable.com + duotrope.com are good places to start. Source: about 4 years ago
  • [help]
    You'll need a Submittable account for most mainstream submissions these days. Source: over 4 years ago
  • Can I get paid by writing poems?
    Another place to search is submittable.com --I think you can even search by paid vs non-paid. Source: over 4 years ago
  • Where to publish short stories in this day and age?
    Check out duotrope. It's a searchable database of all available publications. You can also use the Discover tab on Submittable. Good luck! Source: almost 5 years ago

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 Submittable and Matplotlib, you can also consider the following products

SurveyMonkey Apply - SurveyMonkey Apply enables organizations to streamline the process of collecting and reviewing applications.

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

Award Force - Award Force is recognised as the worldโ€™s #1 awards management software, trusted by organisations across the globe to recognise excellence in their field.

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

OpenWater - OpenWater is an awards management software platform that automates, manages, and grows awards programs big and small.

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

Loading...