Search Over 18,000 FREE Plugins from the Official WordPress Plugin Directory Repository

Welcome to the Best WordPress Plugin Search Engine

WordPress is great and plugins are fantastic, but hard to find the good ones. Looking for the best WordPress plugin for the job can take hours or days, working through lists of plugs, searching for reviews, trying them out. Also you have to know what you are looking for.

Until now there was no way to get a list of the top rating, credible plugins. By credible we mean one that more than x people have voted on and which has been updated recently.

This is where SearchWordPressPlugins.com will help. With our advanced search you can filter out the results you don't want to see. Set the minimum rating, set the minimum number of ratings and the minimum number of downloads to ensure that you save time going through prequalified result lists.

Check out this Plugin Search Overview video created by Ed.

 

 

Another great advantage is that you don't have to filter by keyword or tag, you can set the quality filters high to discover great plugins you never knew existed.

Boolean Search

The Name and Keyword fields accept boolean operators so you can refine your search.  The boolean full-text search capability supports the following operators:

  • +

    A leading plus sign indicates that this word must be present in each row that is returned.

  • -

    A leading minus sign indicates that this word must not be present in any of the rows that are returned.

    Note: The - operator acts only to exclude rows that are otherwise matched by other search terms. Thus, a boolean-mode search that contains only terms preceded by - returns an empty result. It does not return “all rows except those containing any of the excluded terms.

  • (no operator)

    By default (when neither + nor - is specified) the word is optional, but the rows that contain it are rated higher.

  • > <

    These two operators are used to change a word's contribution to the relevance value that is assigned to a row. The > operator increases the contribution and the < operator decreases it. See the example following this list.

  • ( )

    Parentheses group words into subexpressions. Parenthesized groups can be nested.

  • ~

    A leading tilde acts as a negation operator, causing the word's contribution to the row's relevance to be negative. This is useful for marking “noise” words. A row containing such a word is rated lower than others, but is not excluded altogether, as it would be with the - operator.

  • *

    The asterisk serves as the truncation (or wildcard) operator. Unlike the other operators, it should be appended to the word to be affected. Words match if they begin with the word preceding the * operator.

    If a word is specified with the truncation operator, it is not stripped from a boolean query, even if it is too short  or a stopword. This occurs because the word is not seen as too short or a stopword, but as a prefix that must be present in the document in the form of a word that begins with the prefix.  Suppose that the minimum word length = 4. Then a search for '+word +the*' will likely return fewer rows than a search for '+word +the':

    • The former query remains as is and requires both word and the* (a word starting with the) to be present in the document.

    • The latter query is transformed to +word (requiring only word to be present). the is both too short and a stopword, and either condition is enough to cause it to be ignored.

  • "

    A phrase that is enclosed within double quote (“"”) characters matches only rows that contain the phrase literally, as it was typed. The full-text engine splits the phrase into words and performs a search in the FULLTEXT index for the words. Prior to MySQL 5.0.3, the engine then performed a substring search for the phrase in the records that were found, so the match must include nonword characters in the phrase. As of MySQL 5.0.3, nonword characters need not be matched exactly: Phrase searching requires only that matches contain exactly the same words as the phrase and in the same order. For example, "test phrase" matches "test, phrase" in MySQL 5.0.3, but not before.

    If the phrase contains no words that are in the index, the result is empty. For example, if all words are either stopwords or shorter than the minimum length of indexed words, the result is empty.

The following examples demonstrate some search strings that use boolean full-text operators:

  • 'apple banana'

    Find rows that contain at least one of the two words.

  • '+apple +juice'

    Find rows that contain both words.

  • '+apple macintosh'

    Find rows that contain the word “apple”, but rank rows higher if they also contain “macintosh”.

  • '+apple -macintosh'

    Find rows that contain the word “apple” but not “macintosh”.

  • '+apple ~macintosh'

    Find rows that contain the word “apple”, but if the row also contains the word “macintosh”, rate it lower than if row does not. This is “softer” than a search for '+apple -macintosh', for which the presence of “macintosh” causes the row not to be returned at all.

  • '+apple +(>turnover <strudel)'

    Find rows that contain the words “apple” and “turnover”, or “apple” and “strudel” (in any order), but rank “apple turnover” higher than “apple strudel”.

  • 'apple*'

    Find rows that contain words such as “apple”, “apples”, “applesauce”, or “applet”.

  • '"some words"'

    Find rows that contain the exact phrase “some words” (for example, rows that contain “some words of wisdom” but not “some noise words”). Note that the “"” characters that enclose the phrase are operator characters that delimit the phrase. They are not the quotation marks that enclose the search string itself.