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The base of free Github repositories is available through the interface BigQuery

2.8 million repositories, 3 TB of source code and metadata




Google, in collaboration with Github, laid out for public use the full up-to-date database of all open-source repositories via the BigQuery interface. ( Free license check is done via API.)

Google's BigQuery Public Datasets datasets contain information on over 2.8 million free repositories, over 2 billion files (the latest source code for 163 million files), 145 million commits, etc. The total size of the database is about 3 terabytes.
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Previously, Github archives were laid out on the Github Archive . Now all this wealth is available for full-text search and analysis through simple SQL queries. Github promises to update the datasets weekly.

BigQuery is a cloud-based service for interactively analyzing large data sets. The model for using BigQuery is quite simple: data transfer is implemented using standard API calls. This eliminates the need for pre-caching and allows streaming data processing in real time.

In other words, now using a simple SQL query, you can get any statistics on Github repositories. How are repositories the most popular of all time? For the last year? For the last week? For example, here is the result of issuing, upon request, the 1000 most popular repositories for 2015-2016 (the first ten are listed).

repo_idrepo_namenum_stars
one28457823FreeCodeCamp / FreeCodeCamp143920
221737465sindresorhus / awesome36429
329028775facebook / react-native36285
four10270250facebook / react34656
five44838949apple / swift33838
62126244twbs / bootstrap28916
745717250tensorflow / tensorflow28345
eight35955666jlevy / the-art-of-command-line27766
914440270getify / you-dont-know-js27473
ten6498492airbnb / javascript27247
(Delivery of 1000 most popular repositories on request - the result of processing in all three parameters a total of 15.4 GB of data from the free 1 TB monthly limit , which Google gives to each BigQuery user)

Query examples
BigQuery query examples

All repositories with a comment in the code "This should never happen"


SELECT count(*) FROM (SELECT id, repo_name, path FROM [bigquery-public-data:github_repos.sample_files] ) AS F JOIN (SELECT id FROM [bigquery-public-data:github_repos.sample_contents] WHERE NOT binary AND content CONTAINS 'This should never happen') AS C ON F.id = C.id; 


Most Used Go Packages


 SELECT REGEXP_EXTRACT(line, r'"([^"]+)"') AS url, COUNT(*) AS count FROM FLATTEN( (SELECT SPLIT(SPLIT(REGEXP_EXTRACT(content, r'.*import\s*[(]([^)]*)[)]'), '\n'), ';') AS line, FROM (SELECT id, content FROM [bigquery-public-data:github_repos.sample_contents] WHERE REGEXP_MATCH(content, r'.*import\s*[(][^)]*[)]')) AS C JOIN EACH (SELECT id FROM [bigquery-public-data:github_repos.sample_files] WHERE path LIKE '%.go' GROUP BY id) AS F ON C.id = F.id), line) GROUP BY url HAVING url IS NOT NULL ORDER BY count DESC 


Most Used Java Packages


 SELECT package, COUNT(*) c FROM ( SELECT REGEXP_EXTRACT(line, r' ([a-z0-9\._]*)\.') package, id FROM ( SELECT SPLIT(content, '\n') line, id FROM [bigquery-public-data:github_repos.sample_contents] WHERE content CONTAINS 'import' AND sample_path LIKE '%.java' HAVING LEFT(line, 6)='import' ) GROUP BY package, id ) GROUP BY 1 ORDER BY c DESC LIMIT 500; 


Emoji in commits


 SELECT REGEXP_REPLACE(REGEXP_REPLACE(word, r'^[^:]*:', ''), r':[^:]*$', '') as emoticon, C.committer.time_sec as committed_at, count(*) as count FROM ( SELECT SPLIT(message, ' ') as word, committer.time_sec FROM [bigquery-public-data:github_repos.sample_commits] ) as C where REGEXP_MATCH(word, r':[\w]+:') and REGEXP_REPLACE(REGEXP_REPLACE(word, r'^[^:]*:', ''), r':[^:]*$', '') in ("+1", "-1", "100", "1234", "8ball", "a", "ab", "abc", "abcd", "accept", "aerial_tramway", "airplane", "alarm_clock", "alien", "ambulance", "anchor", "angel", "anger", "angry", "anguished", "ant", "apple", "aquarius", "aries", "arrow_backward", "arrow_double_down", "arrow_double_up", "arrow_down", "arrow_down_small", "arrow_forward", "arrow_heading_down", "arrow_heading_up", "arrow_left", "arrow_lower_left", "arrow_lower_right", "arrow_right", "arrow_right_hook", "arrow_up", "arrow_up_down", "arrow_up_small", "arrow_upper_left", "arrow_upper_right", "arrows_clockwise", "arrows_counterclockwise", "art", "articulated_lorry", "astonished", "atm", "b", "baby", "baby_bottle", "baby_chick", "baby_symbol", "back", "baggage_claim", "balloon", "ballot_box_with_check", "bamboo", "banana", "bangbang", "bank", "bar_chart", "barber", "baseball", "basketball", "bath", "bathtub", "battery", "bear", "bee", "beer", "beers", "beetle", "beginner", "bell", "bento", "bicyclist", "bike", "bikini", "bird", "birthday", "black_circle", "black_joker", "black_medium_small_square", "black_medium_square", "black_nib", "black_small_square", "black_square", "black_square_button", "blossom", "blowfish", "blue_book", "blue_car", "blue_heart", "blush", "boar", "boat", "bomb", "book", "bookmark", "bookmark_tabs", "books", "boom", "boot", "bouquet", "bow", "bowling", "bowtie", "boy", "bread", "bride_with_veil", "bridge_at_night", "briefcase", "broken_heart", "bug", "bulb", "bullettrain_front", "bullettrain_side", "bus", "busstop", "bust_in_silhouette", "busts_in_silhouette", "cactus", "cake", "calendar", "calling", "camel", "camera", "cancer", "candy", "capital_abcd", "capricorn", "car", "card_index", "carousel_horse", "cat", "cat2", "cd", "chart", "chart_with_downwards_trend", "chart_with_upwards_trend", "checkered_flag", "cherries", "cherry_blossom", "chestnut", "chicken", "children_crossing", "chocolate_bar", "christmas_tree", "church", "cinema", "circus_tent", "city_sunrise", "city_sunset", "cl", "clap", "clapper", "clipboard", "clock1", "clock10", "clock1030", "clock11", "clock1130", "clock12", "clock1230", "clock130", "clock2", "clock230", "clock3", "clock330", "clock4", "clock430", "clock5", "clock530", "clock6", "clock630", "clock7", "clock730", "clock8", "clock830", "clock9", "clock930", "closed_book", "closed_lock_with_key", "closed_umbrella", "cloud", "clubs", "cn", "cocktail", "coffee", "cold_sweat", "collision", "computer", "confetti_ball", "confounded", "confused", "congratulations", "construction", "construction_worker", "convenience_store", "cookie", "cool", "cop", "copyright", "corn", "couple", "couple_with_heart", "couplekiss", "cow", "cow2", "credit_card", "crocodile", "crossed_flags", "crown", "cry", "crying_cat_face", "crystal_ball", "cupid", "curly_loop", "currency_exchange", "curry", "custard", "customs", "cyclone", "dancer", "dancers", "dango", "dart", "dash", "date", "de", "deciduous_tree", "department_store", "diamond_shape_with_a_dot_inside", "diamonds", "disappointed", "disappointed_relieved", "dizzy", "dizzy_face", "do_not_litter", "dog", "dog2", "dollar", "dolls", "dolphin", "donut", "door", "doughnut", "dragon", "dragon_face", "dress", "dromedary_camel", "droplet", "dvd", "e\\-mail", "ear", "ear_of_rice", "earth_africa", "earth_americas", "earth_asia", "egg", "eggplant", "eight", "eight_pointed_black_star", "eight_spoked_asterisk", "electric_plug", "elephant", "email", "end", "envelope", "es", "euro", "european_castle", "european_post_office", "evergreen_tree", "exclamation", "expressionless", "eyeglasses", "eyes", "facepunch", "factory", "fallen_leaf", "family", "fast_forward", "fax", "fearful", "feelsgood", "feet", "ferris_wheel", "file_folder", "finnadie", "fire", "fire_engine", "fireworks", "first_quarter_moon", "first_quarter_moon_with_face", "fish", "fish_cake", "fishing_pole_and_fish", "fist", "five", "flags", "flashlight", "floppy_disk", "flower_playing_cards", "flushed", "foggy", "football", "fork_and_knife", "fountain", "four", "four_leaf_clover", "fr", "free", "fried_shrimp", "fries", "frog", "frowning", "fu", "fuelpump", "full_moon", "full_moon_with_face", "game_die", "gb", "gem", "gemini", "ghost", "gift", "gift_heart", "girl", "globe_with_meridians", "goat", "goberserk", "godmode", "golf", "grapes", "green_apple", "green_book", "green_heart", "grey_exclamation", "grey_question", "grimacing", "grin", "grinning", "guardsman", "guitar", "gun", "haircut", "hamburger", "hammer", "hamster", "hand", "handbag", "hankey", "hash", "hatched_chick", "hatching_chick", "headphones", "hear_no_evil", "heart", "heart_decoration", "heart_eyes", "heart_eyes_cat", "heartbeat", "heartpulse", "hearts", "heavy_check_mark", "heavy_division_sign", "heavy_dollar_sign", "heavy_exclamation_mark", "heavy_minus_sign", "heavy_multiplication_x", "heavy_plus_sign", "helicopter", "herb", "hibiscus", "high_brightness", "high_heel", "hocho", "honey_pot", "honeybee", "horse", "horse_racing", "hospital", "hotel", "hotsprings", "hourglass", "hourglass_flowing_sand", "house", "house_with_garden", "hurtrealbad", "hushed", "ice_cream", "icecream", "id", "ideograph_advantage", "imp", "inbox_tray", "incoming_envelope", "information_desk_person", "information_source", "innocent", "interrobang", "iphone", "it", "izakaya_lantern", "jack_o_lantern", "japan", "japanese_castle", "japanese_goblin", "japanese_ogre", "jeans", "joy", "joy_cat", "jp", "key", "keycap_ten", "kimono", "kiss", "kissing", "kissing_cat", "kissing_closed_eyes", "kissing_face", "kissing_heart", "kissing_smiling_eyes", "koala", "koko", "kr", "large_blue_circle", "large_blue_diamond", "large_orange_diamond", "last_quarter_moon", "last_quarter_moon_with_face", "laughing", "leaves", "ledger", "left_luggage", "left_right_arrow", "leftwards_arrow_with_hook", "lemon", "leo", "leopard", "libra", "light_rail", "link", "lips", "lipstick", "lock", "lock_with_ink_pen", "lollipop", "loop", "loudspeaker", "love_hotel", "love_letter", "low_brightness", "m", "mag", "mag_right", "mahjong", "mailbox", "mailbox_closed", "mailbox_with_mail", "mailbox_with_no_mail", "man", "man_with_gua_pi_mao", "man_with_turban", "mans_shoe", "maple_leaf", "mask", "massage", "meat_on_bone", "mega", "melon", "memo", "mens", "metal", "metro", "microphone", "microscope", "milky_way", "minibus", "minidisc", "mobile_phone_off", "money_with_wings", "moneybag", "monkey", "monkey_face", "monorail", "moon", "mortar_board", "mount_fuji", "mountain_bicyclist", "mountain_cableway", "mountain_railway", "mouse", "mouse2", "movie_camera", "moyai", "muscle", "mushroom", "musical_keyboard", "musical_note", "musical_score", "mute", "nail_care", "name_badge", "neckbeard", "necktie", "negative_squared_cross_mark", "neutral_face", "new", "new_moon", "new_moon_with_face", "newspaper", "ng", "nine", "no_bell", "no_bicycles", "no_entry", "no_entry_sign", "no_good", "no_mobile_phones", "no_mouth", "no_pedestrians", "no_smoking", "non\\-potable_water", "nose", "notebook", "notebook_with_decorative_cover", "notes", "nut_and_bolt", "o", "o2", "ocean", "octocat", "octopus", "oden", "office", "ok", "ok_hand", "ok_woman", "older_man", "older_woman", "on", "oncoming_automobile", "oncoming_bus", "oncoming_police_car", "oncoming_taxi", "one", "open_file_folder", "open_hands", "open_mouth", "ophiuchus", "orange_book", "outbox_tray", "ox", "package", "page_facing_up", "page_with_curl", "pager", "palm_tree", "panda_face", "paperclip", "parking", "part_alternation_mark", "partly_sunny", "passport_control", "paw_prints", "peach", "pear", "pencil", "pencil2", "penguin", "pensive", "performing_arts", "persevere", "person_frowning", "person_with_blond_hair", "person_with_pouting_face", "phone", "pig", "pig2", "pig_nose", "pill", "pineapple", "pisces", "pizza", "plus1", "point_down", "point_left", "point_right", "point_up", "point_up_2", "police_car", "poodle", "poop", "post_office", "postal_horn", "postbox", "potable_water", "pouch", "poultry_leg", "pound", "pouting_cat", "pray", "princess", "punch", "purple_heart", "purse", "pushpin", "put_litter_in_its_place", "question", "rabbit", "rabbit2", "racehorse", "radio", "radio_button", "rage", "rage1", "rage2", "rage3", "rage4", "railway_car", "rainbow", "raised_hand", "raised_hands", "raising_hand", "ram", "ramen", "rat", "recycle", "red_car", "red_circle", "registered", "relaxed", "relieved", "repeat", "repeat_one", "restroom", "revolving_hearts", "rewind", "ribbon", "rice", "rice_ball", "rice_cracker", "rice_scene", "ring", "rocket", "roller_coaster", "rooster", "rose", "rotating_light", "round_pushpin", "rowboat", "ru", "rugby_football", "runner", "running", "running_shirt_with_sash", "sa", "sagittarius", "sailboat", "sake", "sandal", "santa", "satellite", "satisfied", "saxophone", "school", "school_satchel", "scissors", "scorpius", "scream", "scream_cat", "scroll", "seat", "secret", "see_no_evil", "seedling", "seven", "shaved_ice", "sheep", "shell", "ship", "shipit", "shirt", "shit", "shoe", "shower", "signal_strength", "six", "six_pointed_star", "ski", "skull", "sleeping", "sleepy", "slot_machine", "small_blue_diamond", "small_orange_diamond", "small_red_triangle", "small_red_triangle_down", "smile", "smile_cat", "smiley", "smiley_cat", "smiling_imp", "smirk", "smirk_cat", "smoking", "snail", "snake", "snowboarder", "snowflake", "snowman", "sob", "soccer", "soon", "sos", "sound", "space_invader", "spades", "spaghetti", "sparkle", "sparkler", "sparkles", "sparkling_heart", "speak_no_evil", "speaker", "speech_balloon", "speedboat", "squirrel", "star", "star2", "stars", "station", "statue_of_liberty", "steam_locomotive", "stew", "straight_ruler", "strawberry", "stuck_out_tongue", "stuck_out_tongue_closed_eyes", "stuck_out_tongue_winking_eye", "sun_with_face", "sunflower", "sunglasses", "sunny", "sunrise", "sunrise_over_mountains", "surfer", "sushi", "suspect", "suspension_railway", "sweat", "sweat_drops", "sweat_smile", "sweet_potato", "swimmer", "symbols", "syringe", "tada", "tanabata_tree", "tangerine", "taurus", "taxi", "tea", "telephone", "telephone_receiver", "telescope", "tennis", "tent", "thought_balloon", "three", "thumbsdown", "thumbsup", "ticket", "tiger", "tiger2", "tired_face", "tm", "toilet", "tokyo_tower", "tomato", "tongue", "top", "tophat", "tractor", "traffic_light", "train", "train2", "tram", "triangular_flag_on_post", "triangular_ruler", "trident", "triumph", "trolleybus", "trollface", "trophy", "tropical_drink", "tropical_fish", "truck", "trumpet", "tshirt", "tulip", "turtle", "tv", "twisted_rightwards_arrows", "two", "two_hearts", "two_men_holding_hands", "two_women_holding_hands", "u5272", "u5408", "u55b6", "u6307", "u6708", "u6709", "u6e80", "u7121", "u7533", "u7981", "u7a7a", "uk", "umbrella", "unamused", "underage", "unlock", "up", "us", "v", "vertical_traffic_light", "vhs", "vibration_mode", "video_camera", "video_game", "violin", "virgo", "volcano", "vs", "walking", "waning_crescent_moon", "waning_gibbous_moon", "warning", "watch", "water_buffalo", "watermelon", "wave", "wavy_dash", "waxing_crescent_moon", "waxing_gibbous_moon", "wc", "weary", "wedding", "whale", "whale2", "wheelchair", "white_check_mark", "white_circle", "white_flower", "white_large_square", "white_medium_small_square", "white_medium_square", "white_small_square", "white_square_button", "wind_chime", "wine_glass", "wink", "wolf", "woman", "womans_clothes", "womans_hat", "womens", "worried", "wrench", "x", "yellow_heart", "yen", "yum", "zap", "zero", "zzz") group by 1, 2 order by count DESC LIMIT 100; 


What universities (.edu) come from most commits


 SELECT REGEXP_EXTRACT(email, r'@(.*)') domain, COUNT(*) c FROM ( SELECT REGEXP_EXTRACT(payload, r'([a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+)') email FROM [githubarchive:month.201512] WHERE REGEXP_EXTRACT(payload, r'([a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+)') IS NOT null GROUP BY 1 HAVING email CONTAINS '.edu' ) GROUP BY 1 ORDER BY 2 DESC LIMIT 500; 

Those who want to experiment with requests to the GitHub Data database are advised not to refer to the main table [bigquery-public-data: github_repos.contents] 1.5 TB in size, which contains all non-binary files smaller than 1 MB. She will instantly devour your free monthly limit. Instead, you should refer to the table with the extract of 10% of the files of the most popular repositories [ bigquery-public-data: github_repos.sample_contents ] of only 23 GB or to separate tables for the programming languages ​​.go, .rb. .js, .php, .py and .java [ fh-bigquery: github_extracts.contents_ * ].

Official google post
Github Official Post
GitHub Data Documentation

Interesting services have already begun to appear on the net with the visualization of Github Data.





Source: https://habr.com/ru/post/304476/


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