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Matplotlib VS Lokalise

Compare Matplotlib VS Lokalise and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

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

Lokalise logo Lokalise

Localization tool for software developers. Web-based collaborative multi-platform editor, API/CLI, numerous plugins, iOS and Android SDK.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Lokalise Landing page
    Landing page //
    2023-08-27

Lokalise is a translation management system, which is designed to make the process of localization faster and easier. Our platform reduces manual work and routine tasks that appear while translating web and mobile apps, games, and other software.

With Lokalise you can: โœ“ Translate your localization files (.xml, .strings, .json, .xliff, etc). โœ“ Collaborate and manage all your software localization projects in one platform. โœ“ Integrate translation into the development and deployment process. โœ“ Set up automated workflows via API, use webhooks or integrate with other services (GitHub, Slack, JIRA, Sketch, etc). โœ“ Add screenshots for automatic recognition and matching with the text strings in your projects. โœ“ Upload Sketch artboards to Lokalise and allow translators to work before development starts. โœ“ Preview in real-time how the translations will look like in your web or mobile app (iOS and Android SDK). โœ“ Order professional translations from Lokalise translators or use machine translation.

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.

Lokalise features and specs

  • User-Friendly Interface
    Lokalise provides an intuitive and easy-to-navigate interface that simplifies the process of managing localization projects, making it accessible even for beginners.
  • Collaboration Features
    Lokalise offers robust collaboration tools that allow team members to work together in real-time, including commenting, version history, and role-based access control.
  • Integration Options
    The platform integrates seamlessly with many third-party applications and development environments (e.g., GitHub, Slack, Jira, and more), streamlining the localization workflow.
  • Automated Workflow
    Lokalise supports automated workflows through API access and webhooks, which can significantly reduce the time and effort required for managing translation processes.
  • Support for Multiple File Formats
    The platform supports a wide range of file formats for both importing and exporting translations, making it versatile for various types of projects.

Possible disadvantages of Lokalise

  • Pricing
    Lokalise can be relatively expensive, especially for small businesses or individual users, as its pricing is more geared towards medium to large enterprises.
  • Learning Curve for Advanced Features
    While the basic interface is user-friendly, some of the more advanced features and settings can have a steep learning curve, requiring time and effort to master.
  • Limited Offline Capabilities
    Lokalise is primarily a cloud-based platform, which means offline capabilities are limited. Users need an internet connection to access and manage their localization projects.
  • Dependency on Integrations
    While integrations are a strength, heavy reliance on third-party tools means that any issues with these tools can disrupt the localization workflow.
  • Customization Constraints
    Although Lokalise offers several configurable options, there may be limitations in customizing the platform to fit very unique or specific project requirements.

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.

Analysis of Lokalise

Overall verdict

  • Overall, Lokalise is considered a strong choice for companies looking to streamline their translation and localization processes. It shines in its user-friendly interface, robust feature set, and broad integration options, making it a valuable tool for businesses of all sizes aiming to reach international markets efficiently.

Why this product is good

  • Lokalise is a localization and translation management platform that is highly regarded for its ease of use, integration capabilities, and collaborative features. It allows teams to manage localization projects efficiently, with support for multiple file formats and a vast array of integrations with popular tools and platforms. Its cloud-based platform enables real-time collaboration among translators, developers, and project managers, streamlining the localization process and reducing time-to-market for global products.

Recommended for

  • Tech companies with global product distribution needs.
  • Businesses seeking to improve their localization workflow.
  • Organizations managing multiple languages and translations.
  • Project managers looking for collaborative tools for translation teams.
  • Developers and designers needing seamless translation integrations.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Lokalise videos

+ Add

Lokalise: Uploading files tutorial. File formats

More videos:

  • Review - Lokalise SDK โ€“ Live Edit Module
  • Review - Lokalise: Downloading files

Category Popularity

0-100% (relative to Matplotlib and Lokalise)

Matplotlib

Lokalise

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Localization
0 0%
Localization
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
App Localization
0 0%
App Localization
100% 100

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 Lokalise

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

Lokalise Reviews

Crowdin vs. Lokalise:True Lokalise Alternative
Frequently Asked Questions Who should use Crowdin? What is Crowdin used for? Crowdin is a cloud-based localization platform that automates translation for software, websites, apps, and content. It supports 100+ file formats, integrates with 700+ tools, and offers AI-powered translations, real-time collaboration, and translation memory to ensure accuracy. Used by translators,...
Source: crowdin.com

Social recommendations and mentions

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

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 / 8 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

Lokalise mentions (12)

  • What is Website Localization?
    There are many products out there such as Lokalize, Crowdin, Weglot, Adobe Target, etc can be used to achieve these experiences. Diving into the details and the general working of these products is out of scope of this blog post. But do give these products a try. - Source: dev.to / over 1 year ago
  • I need your help with ARB sample files
    I'm pretty sure, you'll find companies like this one which provide a nice GUI for helping with l10n or this one which offers translation services or this page that offers to convert between different formats, one of which probably has a nice GUI tool. Found them by 20 secs of googling. Source: about 3 years ago
  • Localizations in Flutter
    Localise has no problem reading the json files or export to json, we recently started using it in collaboration with external translators. Source: about 3 years ago
  • Why can't Apple fully translate their iOS interface into all supported languages?
    Actually I don't have "my" app. But in our app we use https://lokalise.com/ to localize it even to Norwegian. Our team is not the most expensive company in the world btw. And we don't have 1B+ users all over the world. Source: over 3 years ago
  • Markdown, Asciidoc, or reStructuredText - a tale of docs-as-code
    Internationalization (i18n) pain for a documentation project is a process problem, not a feature gap. Documentation frameworks are not meant to translate your developer docs for you into the language of your choice. Some frameworks might offer i18n support, like the Crowdin support in Docusauraus v2. With Jekyll, you have to pick a theme like this one. I doubt if the reST or adoc frameworks would differ much from... - Source: dev.to / over 3 years ago
View more

What are some alternatives?

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

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

Phrase - The worldโ€™s leading Language Intelligence Platform.

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

Crowdin - Localize your product in a seamless way with Crowdin's translation management software

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

Transifex - Transifex makes it easy to collect, translate and deliver digital content, web and mobile apps in multiple languages. Localization for agile teams.

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