Software Alternatives, Accelerators & Startups

Lucene VS JSDoc

Compare Lucene VS JSDoc and see what are their differences

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.

Lucene logo Lucene

Search Engines

JSDoc logo JSDoc

An API documentation generator for JavaScript.
  • Lucene Landing page
    Landing page //
    2023-10-01
  • JSDoc Landing page
    Landing page //
    2019-09-17

Lucene features and specs

  • High Performance
    Lucene is designed for high-performance indexing and searching. It can handle large volumes of data and provide fast search results, making it suitable for applications requiring quick data retrieval.
  • Scalability
    Lucene is highly scalable, capable of managing and performing well with large datasets. Its performance remains consistent across varying data sizes, which is critical for growing applications.
  • Flexibility and Customizability
    Lucene offers a high degree of flexibility and customizability, allowing developers to tailor search capabilities to specific needs, including custom scoring, tokenization, and ranking algorithms.
  • Rich Features
    Lucene provides a comprehensive set of features such as term boosting, wildcard queries, proximity searches, and more, which enhance its search capabilities for complex querying needs.
  • Open Source Community
    As an Apache project, Lucene benefits from a robust open-source community, ensuring continuous updates, improvements, and support, fostering a reliable and well-maintained codebase.

Possible disadvantages of Lucene

  • Complexity
    Lucene's comprehensive feature set leads to complexity in understanding and configuring the system, which might pose a learning curve for new users.
  • Java Dependency
    Lucene is written in Java, which may require specific knowledge or adaptations to integrate into systems primarily using other programming languages.
  • Limited to Full-Text Search
    While Lucene excels at full-text search, it might not be the best choice for applications requiring advanced data analytics, which may require integration with other data processing tools.
  • Resource Intensive
    Lucene can be resource-intensive, particularly during indexing operations, requiring careful management of memory and storage to achieve optimal performance.

JSDoc features and specs

  • Improved Documentation
    JSDoc generates detailed HTML documentation from comments, which improves the maintainability and readability of the codebase.
  • Enhanced Code Understanding
    By using JSDoc, other developers can easily understand the purpose and usage of functions, parameters, classes, etc.
  • Autocomplete and Type Checking
    When integrated with editors like Visual Studio Code, JSDoc comments can provide better autocomplete suggestions and can be used for TypeScript-like type checking.
  • Consistency
    JSDoc enforces consistent documentation across the codebase, ensuring that all parts of the code are equally documented.
  • Easy to Use
    It is relatively straightforward to incorporate JSDoc comments into existing JavaScript code with minimal effort.
  • Supports Multiple Formats
    JSDoc supports various formats and tags, making it versatile for different documentation needs.

Possible disadvantages of JSDoc

  • Learning Curve
    New users may need some time to fully understand and utilize all the features and tags available in JSDoc.
  • Manual Effort
    Writing JSDoc comments requires a manual effort from developers, which can be time-consuming especially for large codebases.
  • Not Enforced
    Without proper enforcement, developers might omit JSDoc comments, leading to inconsistent documentation.
  • Overhead
    Too many comments can make the codebase cluttered and harder to navigate in some cases.
  • Limited to JavaScript
    JSDoc is primarily designed for JavaScript, which can be limiting if the project includes multiple languages.

Lucene videos

Lucene Indexing Tutorial | Solr Indexing Tutorial | Search Engine Indexing | Solr Tutorial |Edureka

More videos:

  • Review - Lucene Search Essentials: Scorers, Collectors and Custom Queries, Mikhail Khludnev
  • Review - Television News Search and Analysis with Lucene/Solr

JSDoc videos

ep1 - Documenting your javascript code like a pro, setting up JSdoc

More videos:

  • Review - How JSDoc Support was Added to TypeScript pt1 - TypeScript PR Reviews
  • Review - How JSDoc Support was Added to TypeScript pt2 - TypeScript PR Reviews

Category Popularity

0-100% (relative to Lucene and JSDoc)
Custom Search Engine
100 100%
0% 0
Documentation
0 0%
100% 100
Search Engine
100 100%
0% 0
Documentation As A Service & Tools

User comments

Share your experience with using Lucene and JSDoc. 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 Lucene and JSDoc

Lucene Reviews

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

JSDoc Reviews

20 Best Web Project Documentation Tools
It is to Sass what JSDoc is to JavaScript: a documentation system to build pretty and powerful docs in the blink of an eye.
Source: bashooka.com

Social recommendations and mentions

Based on our record, JSDoc should be more popular than Lucene. It has been mentiond 54 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.

Lucene mentions (26)

  • Testing MongoDB Atlas Search Java Apps Using TestContainers
    MongoDB Atlas Search is an extension to the built-in indexing capabilities that are part of MongoDB itself, using the awesome open source indexing and query library Lucene. MongoDB has built a wrapper around Lucene called mongot. Mongot has two responsibilities: First, it follows the change stream of any collection you choose to index and builds Lucene indexes asynchronously. Second, when you run the $search... - Source: dev.to / 9 days ago
  • Integrating Full-Text Search with Hibernate Search in a Java Application
    Implementing full-text search in an application can be challenging, but Hibernate Search simplifies the process by offering a built-in solution that requires minimal configuration. It seamlessly integrates with powerful search engines like Elasticsearch and Lucene, enabling efficient and scalable search capabilities. - Source: dev.to / about 1 month ago
  • Unveiling Apache Lucene: Open Source Innovation, Funding, and Community
    In today’s digital landscape, open source projects are the engines of innovation that drive technological progress and collaboration. One such powerhouse is Apache Lucene. Recognized as one of the most advanced high-performance text search engine libraries, Apache Lucene not only excels technically but also sets a benchmark in open source business models and sustainable funding. In this post, we delve into... - Source: dev.to / about 2 months ago
  • Lucene and I
    It just be this easy with a little Java elbow grease. And because it’s fairly straightforward to send data into Lucene and then query it powerfully, and because Mr. Cutting nurtured such a benevolent, inviting yet demanding, open source environment, an entire ecosystem of add-ons, forks, ports, wrappers, and companies, and ... And ... AND! - Source: dev.to / 5 months ago
  • Considerations for Unicode and Searching
    Solr is based on the Lucene library, as is Elastic. I mention this because these two search engines provide most private web site search capabilities on the internet. I started using Lucene around 25 years ago in Perl - it works well. - Source: dev.to / 10 months ago
View more

JSDoc mentions (54)

  • Documenting Web Components With Storybook
    One of the best tools available in Web Component development is the Custom Elements Manifest. It's a JSON representation of all your available components, covering all the attributes, methods, slots and events they support, powered by your JSDoc comments and TypeScript types. You can customize the manifest generation through plugins to support custom JSDoc comments, allowing you to power more pieces of your... - Source: dev.to / 2 months ago
  • Just Say No to JavaScript
    I've seen several ways of annotating Javascript that IDEs seem to understand. They usually involve using comments before fields, classes, or functions. The most compliant one seems to be using [JSDoc](https://jsdoc.app/). JSDoc is mostly intended for generating documentation. However, the Typescript compiler can validate types (and can even interoperate with Typescript definitions), if you configure it as such. In... - Source: Hacker News / 5 months ago
  • TypeScript (and JSDoc) vs JavaScript
    If you choose to use JSDoc instead of TypeScript, this only con that TypeScript has is gone, but a new one appears: JSDoc doesnt work very well with more complex types if you dont use classes to represent them. - Source: dev.to / 6 months ago
  • How to document your JavaScript package
    Thanks to JSDoc it's easy to write documentation that is coupled with your code and can be consumed by users in a variety of formats. When combined with a modern publishing flow like JSR, you can easily create comprehensive documentation for your package that not only fits within your workflow, but also integrates directly in the tools your users consume your package with. This blog post aims to cover best... - Source: dev.to / 12 months ago
  • Deep Dive: Google Apps Script - Testing APIs and Automating Sheets
    Note: For simplicity, I will omit the JavaScript documentation, but for a production grade code you may want to add the documentation (see jsdoc.app website for more). - Source: dev.to / 12 months ago
View more

What are some alternatives?

When comparing Lucene and JSDoc, you can also consider the following products

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

Doxygen - Generate documentation from source code

Daux.io - Daux.io is a documentation generator that uses a simple folder structure and Markdown files to...

JSOLint - Format, verify, and lint JSON effortlessly with our powerful Validator Tool. Generate pretty JSON and validate online for free. Simplify your JSON tasks

DocFX - A documentation generation tool for API reference and Markdown files!

JSONFormatter.org - Online JSON Formatter and JSON Validator will format JSON data, and helps to validate, convert JSON to XML, JSON to CSV. Save and Share JSON