Software Alternatives, Accelerators & Startups

OpenSearch VS GraphUp – jQuery Plugin

Compare OpenSearch VS GraphUp – jQuery Plugin and see what are their differences

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OpenSearch logo OpenSearch

OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, and a visualization and user interface, OpenSearch Dashboards.

GraphUp – jQuery Plugin logo GraphUp – jQuery Plugin

GraphUp is a minimalistic jQuery Plugin that allows you to beautify your data tables.
  • OpenSearch Landing page
    Landing page //
    2023-08-18
  • GraphUp – jQuery Plugin Landing page
    Landing page //
    2021-08-04

OpenSearch features and specs

  • Open Source
    OpenSearch is released under the Apache 2.0 License, allowing users to freely use, modify, and distribute the software without licensing fees.
  • Elasticsearch Compatibility
    OpenSearch maintains compatibility with popular Elasticsearch features and APIs, allowing for seamless integration for those familiar with Elasticsearch.
  • Community Driven Development
    As an open-source project, it encourages community contributions and feedback, leading to rapid innovation and a diverse set of features.
  • Enhanced Security Features
    OpenSearch includes built-in security features like authentication, encryption, and role-based access control out of the box.
  • Comprehensive Visualization Tools
    The OpenSearch Dashboards offer extensive data visualization tools that are comparable to and compatible with Kibana, making it easier to explore and visualize data.

Possible disadvantages of OpenSearch

  • Relatively New Project
    Being a newer project compared to Elasticsearch, OpenSearch might have less maturity in certain advanced features or optimizations.
  • Smaller Community
    While growing, the OpenSearch community is smaller compared to Elasticsearch, potentially offering less community support or fewer third-party plugins.
  • Potential Steeper Learning Curve
    For users switching from proprietary systems or Elasticsearch itself, there might be a learning curve as they adapt to any differences or nuances.
  • Forking Concerns
    As a fork of Elasticsearch and Kibana, some users may have concerns about long-term feature parity or divergence from the systems they are used to.

GraphUp – jQuery Plugin features and specs

  • Ease of Use
    GraphUp is easy to use with jQuery, making it accessible for developers familiar with this library. Its syntax and integration with HTML are straightforward, which streamlines the implementation process.
  • Customization
    The plugin offers multiple customization options, allowing users to tailor the graph's appearance to match their design preferences or branding requirements.
  • Lightweight
    GraphUp is lightweight, which means it doesn't significantly increase the loading time of web pages. This can lead to better performance and user experience compared to more heavy-duty graphing solutions.
  • Versatility
    The plugin can be used to create a variety of graph types, which adds versatility for different data visualization needs.

Possible disadvantages of GraphUp – jQuery Plugin

  • Limited Features
    While GraphUp covers basic graphing needs, it lacks the advanced features found in more comprehensive charting libraries, which may limit its usefulness for complex data visualization tasks.
  • jQuery Dependency
    The plugin relies on jQuery, which might not be ideal for developers working on projects using modern JavaScript frameworks where jQuery is not required or desired.
  • Documentation
    The documentation for GraphUp might not be as extensive or detailed as larger, well-supported libraries, potentially making troubleshooting or advanced use cases more challenging.
  • Market Presence
    GraphUp is not as widely used or supported as other popular graph libraries, which means less community support, fewer updates, and fewer resources available for users.

OpenSearch videos

OpenSearch - What the Fork is it?

GraphUp – jQuery Plugin videos

No GraphUp – jQuery Plugin videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to OpenSearch and GraphUp – jQuery Plugin)
Custom Search Engine
100 100%
0% 0
JavaScript Tools
0 0%
100% 100
Search Engine
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, OpenSearch seems to be more popular. It has been mentiond 26 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.

OpenSearch mentions (26)

  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 22 days ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / over 1 year ago
  • Tutorial: Modifying Grafana's Source Code
    As you can see the visualisation performs rather well with InfluxDB except for one button which appears to be disabled:** Logs for this span**. This button is automatically disabled when our trace data source (in this case, Jaeger with InfluxDB 3.0 acting as the gRPC storage engine) has not been configured with a log data source. A log data source within Grafana is usually represented by default using the log... - Source: dev.to / almost 2 years ago
  • WebArena: A Realistic Web Environment for Building Autonomous Agents
    Interesting work with the representation of the Content through the URL, to allow the agent/actor to discover the information through different path. ↓ [...] - CSS(--variable) - DOM(attributes=value) - FORM(input[name]) - URL(path?param#resource) - HTTP(?params{body}) - SCRIPT(--attribute) - DB(model?filters) - FS(folder/filer/{content}) [...] ↑ - https://www.w3.org/OWL/ maybe to harmonize the... - Source: Hacker News / almost 2 years ago
  • Ingesting Data into OpenSearch using Apache Kafka and Go
    Scalable data ingestion is a key aspect for a large-scale distributed search and analytics engine like OpenSearch. One of the ways to build a real-time data ingestion pipeline is to use Apache Kafka. It's an open-source event streaming platform used to handle high data volume (and velocity) and integrates with a variety of sources including relational and NoSQL databases. For example, one of the canonical use... - Source: dev.to / almost 2 years ago
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GraphUp – jQuery Plugin mentions (0)

We have not tracked any mentions of GraphUp – jQuery Plugin yet. Tracking of GraphUp – jQuery Plugin recommendations started around Aug 2021.

What are some alternatives?

When comparing OpenSearch and GraphUp – jQuery Plugin, you can also consider the following products

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

FooTable - A responsive table plugin built on jQuery and made for Bootstrap.

Typesense - Typo tolerant, delightfully simple, open source search 🔍

Tablesome - Tablesome is a table plugin for WordPress that enables you to build responsive tables for your project and deal with a large number of rows and columns easily.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Kidd Sticky Table - Kidd Sticky Table is a handy plugin built using jQuery to make it easy to edit a table with fixed left columns and header elements.