Search Results for "fast"

...The project includes all the infrastructure required to run a full instance locally or in production, combining web servers, databases, and search indexing systems into a scalable architecture. It relies heavily on technologies such as Elasticsearch for search functionality and MariaDB for structured data storage, enabling fast and efficient querying across massive datasets. The system is designed with redundancy and replication in mind, allowing distributed deployments and mirrored environments to handle high traffic and large data volumes. It also includes tooling for importing datasets, managing metadata, and maintaining structured archives using custom formats.

ddgr is a cmdline utility to search DuckDuckGo from the terminal. While googler is highly popular among cmdline users, in many forums the need of a similar utility for privacy-aware DuckDuckGo came up. DuckDuckGo Bangs are super-cool too! So here's ddgr for you! Unlike the web interface, you can specify the number of search results you would like to see per page. It's more convenient than skimming through 30-odd search results per page. The default interface is carefully designed to use...

googler is a power tool to Google (Web & News) and Google Site Search from the command-line. It shows the title, URL and abstract for each result, which can be directly opened in a browser from the terminal. Results are fetched in pages (with page navigation). Supports sequential searches in a single googler instance. googler was initially written to cater to headless servers without X. You can integrate it with a text-based browser. However, it has grown into a very handy and flexible...

...SE Auditor enables you to check meta description, keywords, sitemap, the number of links and keyword consistency, the text/HTML ratio and many more ranking / usability / social factors. Unlike other programs of this type SE Auditor is: - free - fast, do not waste your time (the audit process goes smooth as butter) - simple to understand interface (you can see at a glance) - shows the data important in optimizing your site - based on the collected data allows to generate a PDF report with hints - is accurate (for example in counting words, characters, calculating text/html ratio..)

Google Mass Search is a small script written in python to get large number(as you need) of urls from google search results of a specified string. It is really simple to use but fast & powerful. You can specify a search string, no. of results filename, and some optional fields. GMS retrieves all the required links in a few seconds and save it to the file. It also eliminates the redundant links. You can also apply filters like links containing a given string or not containing a string. If you know a bit of python programming, you can even customize GMS as you wish.

"Swish-e is a fast, flexible, and free open source system for indexing collections of Web pages or other files" (http://swish-e.org/ ) This module provides a Python API for this software.

Nucular Archiving System for creating full text indices for fielded data. Python API, web, and command line interfaces. Fast. Very light weight. Concurrent read/writes with no possible locking issues. No server process. Proximity. Facets. Funny name.

A small, fast tool for searching pisi source files.

Fast SMB Search is a search engine for local SMB-based networks (e.g Windows networks). It's key feature is the ability to quickly search for a file in a large network. Also supports FTP search, so project name is not strict

Cheshire3 is a fast Z39.50, SRW, XML search engine, written in Python for extensability and using C libraries for speed. Next generation of the Cheshire system (http://cheshire.berkeley.edu) and designed around a distributable, object oriented model.

Ferret CMS is a Content Management System based on Zope. It is focused on easy administration and fast deployment of a web site. It has a workflow mechanism with roles that can be assigned to backend users.

Pyndex is a simple and fast full-text indexer and Bayesian classifier implemented in Python. It uses Metakit as its storage back-end. It works well for quickly adding search to an application, and is also well suited to in-memory indexing and search.