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Github is a most widely used open source repository. It helps to search code on their public repository.
https://github.com/
Ohloh Code, the world’s largest, most comprehensive free code search engine. Koders has now merged with Ohloh to become your one-stop resource for both code and analysis.
http://code.ohloh.net/
Antepedia is the largest knowledge base of open source components with over 2 million current projects. Antepedia continuously aggregates data from various directories that include Google Code, Apache, GitHub, Maven, and many more. http://www.antepedia.com/
searchcode is a free source code and documentation search engine. API documentation, code snippets and open source (free sofware) repositories are indexed and searchable.
http://searchcode.com/
Krugle provides support search open source code from all programming languages. It has advanced search capabilities to search on function name, class name, project name etc.
http://opensearch.krugle.org/
GrepCode can be used to find Java projects, Java classes, interfaces, enums, annotations (Java Types), Java methods. In addition, GrepCode allows users to do stacktrace searches and find usages of classes and methods.
http://grepcode.com/
Codase is the source code search company with advanced source code understanding and xml index/search technologies.
It hosts huge amount of open source codes providing a much better coverage. With Codase, one can search functions, classes, strings, constants, macros, comments and other programming language constructs.
http://www.codase.com/
Debian Code Search (DCS) is a search engine for source code — it searches all the open source projects which are included in the Debian archive (the "main" distribution only, not non-free or contrib). Currently, that includes about 18000 packages with 140 GiB of source code.
http://codesearch.debian.net/
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We will send mail once in a week about latest updates on open source tools and technologies. subscribe our newsletterSeoToaster is a free Open Source CMS & Ecommerce solution to build, manage and market websites optimized for for top search engine performance. As the name implies, Seo Toaster is to date the only content management system (CMS) to truly integrate SEO execution and web marketing automation technology in full compliance with the search engines industry’s best practices.
Lucene is most powerful and widely used Search engine. Here is the list of 7 search engines which is built on top of Lucene. You could imagine how powerful they are.
Lucene is a search library built in Java. Solr is a web application built on top of Lucene. Certainly Solr = Lucene + Added features. Often there would a question, when to choose Solr and when to choose Lucene.
Lucidworks Enterprise search solution is built on top of Apache Solr. It scales seamlessly w/sub-second response times under extreme query loads for multi-billion document collections. It has user friendly UI, which does all the job of configuration and search.
LogicalDOC is both a document management and a collaboration system. The software is loaded with many functions and allows organizing, indexing, retrieving, controlling and distributing important business documents securely and safely for any organization and individual.
Solr and Elastic Search are built on top of Lucene. Both are open source and both have extra features which makes programmer life easy. This article explains the difference and the best situation to choose between them.
I have a open source project but where should i host? This is the frequently asked question among developers. Below details will certainly help to choose the best code hosting site.
Angular is a platform for building responsive web, native desktop and native mobile applications. Angular client applications are built using HTML, CSS and Typescript. Typescript is a typed superset of Javascript that compiles to plain Javascript. Angular core and optional modules are built using Typescript. Code has been licensed as MIT License.
Solr and Elastic Search both are built on top of Lucene library. Both are compratively equal. Any new feature / enhancement which get introduced in Lucene, will also get added to Solr. But still Elastic Search which uses Lucene as it core gained more popularity than Solr in recent years.
Most of the database has support of full text search, basically indexing and saarching. MySQL, Oracle and many more databases has in-built full text search. Then what is the need to go for external search engine like Lucene, Sphinx, Solr etc. Check out the advantage of using Searchengine.
Most of us would be familar about the project hosting sites like sourceforge, github etc. These sites hosts the complete project, documentation and has a means to track bugs etc. Sometimes we may need to host the simple pieace of code which we may be want to share it with our friends or to post the link in the forum to discuss more about the code.
Enterprise search software should be capable to search the data available in the entire organization or personnel desktop. The data could be in File system, Web or in Database. It should search contents of Emails, file formats like doc, xls, ppt, pdf and lot more. There are many commercial products available but LucidWorks and SearchBlox are best and free.
Solr is a search engine built on top of Lucene. It supports REST interface and has lot of built-in capabilities. Solr package has Admin UI interface which has support to perform query and even delete the contents of the index. If you are using Solr in production then you may need to restrict access. I saw couple of questions in the group related to this topic. Thought to write an article explaining few tips to restrict the user access to Solr admin UI.
Lucene and Solr are most popular and widely used search engine. It indexes the content and delivers the search result faster. It has all capabilities of NoSQL database. This article describes about its pros and cons.
As open source getting popular day by day, many have questions like How to make money from Open Source? Lot more products are getting introduced and don't know who is making money. Certainly open source means, give the product and source for free then how to make money? Yes sell the product for free but get paid for its services.
Text editors are mainly used by programmers and developers for manipulating plain text source code, editing configuration files or preparing documentation and even viewing error logs. Text editors is a piece of software which enables to create, modify and delete files that a programmer is using while creating website or mobile app.In this article, we will discuss about top 7 all-round performing text editors which is highly supportive for programmers.
You may require GBs of data to do performance or load testing. How your app behaves when there is loads of data. You need to know the capacity of your application. This is the frequently asked question from the sales team "The customer is having 100GB of data and he wants to know whether our product will handle this? If so how much RAM / Disk storage required?". This article has pointers to the large data corpus.
The newly introduced concept of dependency injection in Angular version 2.0 makes it an attractive front-end technology all because of one amazing feature called 'Multi-Providers'. In general, it allows the users to attach certain operations by themselves and a few plugin custom functionality which is not required in our mobile app use case.
Column oriented database or datastore as the name sounds it stores the data by column rather than by row. It has some advantages and disadvantages over traditional RDBMS. Developer should know the typical situation to choose column oriented database.
UnQLite is an embedded NoSQL database engine. It's a standard Key/Value store similar to the more popular Berkeley DB and a document-store database similar to MongoDB with a built-in scripting language called Jx9 that looks like Javascript. Unlike most other NoSQL databases, UnQLite does not have a separate server process. UnQLite reads and writes directly to ordinary disk files. A complete database with multiple collections is contained in a single disk file. The database file format is cross-platform, you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures.
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