{
  "name": "fast-csv",
  "version": "0.6.0",
  "description": "CSV parser and writer",
  "main": "index.js",
  "scripts": {
    "test": "grunt jshint it"
  },
  "repository": {
    "type": "git",
    "url": "git@github.com:C2FO/fast-csv.git"
  },
  "keywords": [
    "csv",
    "parser",
    "fast",
    "writer",
    "csv writer",
    "CSV"
  ],
  "homepage": "http://c2fo.github.com/fast-csv/index.html",
  "author": {
    "name": "Doug Martin"
  },
  "license": "MIT",
  "devDependencies": {
    "it": "~0.2.6",
    "grunt-it": "~0.3.1",
    "grunt": "~0.4.1",
    "grunt-contrib-jshint": "~0.10.0",
    "grunt-exec": "^0.4.5"
  },
  "engines": {
    "node": ">=0.10"
  },
  "dependencies": {
    "is-extended": "0.0.10",
    "object-extended": "0.0.7",
    "extended": "0.0.6",
    "string-extended": "0.0.8"
  },
  "readme": "[![build status](https://secure.travis-ci.org/C2FO/fast-csv.png)](http://travis-ci.org/C2FO/fast-csv)\n# Fast-csv\n\nThis is a library that provides CSV parsing and formatting.\n\n**NOTE** As of v0.2.0 `fast-csv` supports multi-line values.\n\n## Installation\n\n`npm install fast-csv`\n\n## Usage\n\n### Parsing\n\nAll methods accept the following `options`\n\n* `objectMode=true`: Ensure that `data` events have an object emitted rather than the stringified version set to false to have a stringified buffer.\n* `headers=false`: Set to true if you expect the first line of your `CSV` to contain headers, alternatly you can specify an array of headers to use.\n* `ignoreEmpty=false`: If you wish to ignore empty rows.\n* `discardUnmappedColumns=false`: If you want to discard columns that do not map to a header.\n* `strictColumnHandling=false`: If you want to consider empty lines/lines with too few fields as errors - Only to be used with `headers=true`\n* `delimiter=','`: If your data uses an alternate delimiter such as `;` or `\\t`.\n   * **NOTE** When specifying an alternate `delimiter` you may only pass in a single character delimiter\n* `quote='\"'`: The character to use to escape values that contain a delimiter. If you set to `null` then all quoting will be ignored\n* `escape='\"'`: The character to use when escaping a value that is `quoted` and contains a `quote` character.\n    * `i.e`: 'First,\"Name\"' => '\"First,\"\"name\"\"\"'\n* The following are options for parsing only.\n  * `trim=false`: If you want to trim all values parsed set to true.\n  * `rtrim=false`: If you want to right trim all values parsed set to true.\n  * `ltrim=false`: If you want to left trim all values parsed set to true.\n  * `comment=null`: If your CSV contains comments you can use this option to ignore lines that begin with the specified character (e.g. `#`).\n\n\n**events**\n\n* `data`: Emitted when a record is parsed.\n* `record`: Emitted when a record is parsed. **DEPRECATED**\n* `data-invalid`: Emitted if there was invalid row encounted, **only emitted if the `validate` function is used or `strictColumnHandling=true`**.\n* `data`: Emitted with the object or `stringified` version if the `objectMode` is set to `false`.\n\n**`([options])` or `.parse(options)`**\n\nIf you use `fast-csv` as a function it returns a transform stream that can be piped into.\n\n```javascript\nvar stream = fs.createReadStream(\"my.csv\");\n\nvar csvStream = csv()\n    .on(\"data\", function(data){\n         console.log(data);\n    })\n    .on(\"end\", function(){\n         console.log(\"done\");\n    });\n\nstream.pipe(csvStream);\n\n//or\n\nvar csvStream = csv\n    .parse()\n    .on(\"data\", function(data){\n         console.log(data);\n    })\n    .on(\"end\", function(){\n         console.log(\"done\");\n    });\n\nstream.pipe(csvStream);\n```\n\n```javascript\nfs.createReadStream(\"my.csv\")\n    .pipe(csv())\n    .on(\"data\", function(data){\n        console.log(data);\n    })\n    .on(\"end\", function(){\n        console.log(\"done\");\n    });\n```\n\n```\nvar fileStream = fs.createReadStream(\"my.csv\"),\n    parser = fastCsv();\n\nfileStream\n    .on(\"readable\", function () {\n        var data;\n        while ((data = fileStream.read()) !== null) {\n            parser.write(data);\n        }\n    })\n    .on(\"end\", function () {\n        parser.end();\n    });\n\nparser\n    .on(\"readable\", function () {\n        var data;\n        while ((data = parser.read()) !== null) {\n            console.log(data);\n        }\n    })\n    .on(\"end\", function () {\n        console.log(\"done\");\n    });\n```\n\n\n**`.fromPath(path[, options])`**\n\nThis method parses a file from the specified path.\n\n```javascript\nvar csv = require(\"fast-csv\");\n\ncsv\n .fromPath(\"my.csv\")\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n```\n\n**`.fromString(string[, options])`**\n\nThis method parses a string\n\n```javascript\nvar csv = require(\"fast-csv\");\n\nvar CSV_STRING = 'a,b\\n' +\n                 'a1,b1\\n' +\n                 'a2,b2\\n';\n\ncsv\n .fromString(CSV_STRING, {headers: true})\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n```\n\n**`.fromStream(stream[, options])`**\n\nThis accepted a readable stream to parse data from.\n\n```javascript\nvar stream = fs.createReadStream(\"my.csv\");\n\ncsv\n .fromStream(stream)\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n```\n\nIf you expect the first line your csv to headers you may pass a headers option in. Setting the headers option will\ncause change each row to an object rather than an array.\n\n```javascript\nvar stream = fs.createReadStream(\"my.csv\");\n\ncsv\n .fromStream(stream, {headers : true})\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n\n```\n\nYou may alternatively pass an array of header names which must match the order of each column in the csv, otherwise\nthe data columns will not match.\n\n```javascript\nvar stream = fs.createReadStream(\"my.csv\");\n\ncsv\n .fromStream(stream, {headers : [\"firstName\", \"lastName\", \"address\"]})\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n\n```\n\nIf your data may include empty rows, the sort Excel might include at the end of the file for instance, you can ignore\nthese by including the `ignoreEmpty` option.\n\nAny rows consisting of nothing but empty strings and/or commas will be skipped, without emitting a 'data' or 'error' event.\n\n```javascript\nvar stream = fs.createReadStream(\"my.csv\");\n\ncsv\n .fromStream(stream, {ignoreEmpty: true})\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n\n```\n\n### Validating\n\nYou can validate each row in the csv by providing a validate handler. If a row is invalid then a `data-invalid` event\nwill be emitted with the row and the index.\n\n```javascript\nvar stream = fs.createReadStream(\"my.csv\");\n\ncsv\n .fromStream(stream, {headers : true})\n .validate(function(data){\n     return data.age < 50; //all persons must be under the age of 50\n })\n .on(\"data-invalid\", function(data){\n     //do something with invalid row\n })\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n\n```\n\nIf your validation is `async` then your validation function\n\n```javascript\nvar stream = fs.createReadStream(\"my.csv\");\n\ncsv\n .fromStream(stream)\n .validate(function(data, next){\n     MyModel.findById(data.id, function(err, model){\n        if(err){\n            next(err);\n        }else{\n            next(null, !model); //valid if the model does not exist\n        }\n     });\n })\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n```\n\n### Transforming\n\nYou can transform data by providing a transform function. What is returned from the transform function will\nbe provided to validate and emitted as a row.\n\n```javascript\nvar stream = fs.createReadStream(\"my.csv\");\n\ncsv\n .fromStream(stream)\n .transform(function(data){\n     return data.reverse(); //reverse each row.\n })\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n\n```\n\nIf your transform function expects two arguments then a callback function will be provided and should be called once the validation is complete. This is useful when doing async validation\n\n```javascript\nvar stream = fs.createReadStream(\"my.csv\");\n\ncsv\n .fromStream(stream)\n .transform(function(data, next){\n     MyModel.findById(data.id, next);\n })\n .on(\"data\", function(data){\n     console.log(data);\n })\n .on(\"end\", function(){\n     console.log(\"done\");\n });\n\n```\n\n### Formatting\n\n`fast-csv` also allows to you to create create a `CSV` from data.\n\nFormatting accepts the same options as parsing with an additional `transform` option.\n\n* `transform(row[, cb])`: A function that accepts a row and returns a transformed one to be written, or your function can accept an optional callback to do async transformations.\n* `rowDelimiter='\\n'`: Specify an alternate row delimiter (i.e `\\r\\n`)\n* `includeEndRowDelimiter=false`: Set to `true` to include a row delimiter at the end of the csv.\n* `quoteHeaders=false`\n   * If `true` then all headers will be quoted.\n   * If it is an object then each key that has a true value will be quoted (see example below)\n   * If it is an array then each item in the array that is true will have the header at the corresponding index quoted (see example below)\n* `quoteColumns=false`\n   * If `true` then columns and headers will be quoted (unless `quoteHeaders` is specified).\n   * If it is an object then each key that has a true value will be quoted ((unless `quoteHeaders` is specified)\n   * If it is an array then each item in the array that is true will have the column at the corresponding index quoted (unless `quoteHeaders` is specified)\n\n### Data Types\n\nWhen creating a CSV `fast-csv` supports a few data formats.\n\n**`Objects`**\n\nYou can pass in object to any formatter function if your csv requires headers the keys of the first object will be used as the header names.\n\n```\n[\n    {\n        a: \"a1\",\n        b: \"b1\",\n        c: \"c1\"\n    }\n]\n\n//Generated CSV\n//a,b,c\n//a1,b1,c1\n```\n\n**`Arrays`**\n\nYou can also pass in your rows as arrays. If your csv requires headers the first row passed in will be the headers used.\n\n```\n[\n    [\"a\", \"b\", \"c\"],\n    [\"a1\", \"b1\", \"c1\"]\n]\n//Generated CSV\n//a,b,c\n//a1,b1,c1\n```\n\n**`Arrays of Array`**\n\nThis is the least commonly used format but can be useful if you have requirements to generate a CSV with headers with the same column name (Crazy we know but we have seen it).\n\n```\n[\n    [\n        [\"a\", \"a1\"],\n        [\"a\", \"a2\"],\n        [\"b\", \"b1\"],\n        [\"b\", \"b2\"],\n        [\"c\", \"c1\"],\n        [\"c\", \"c2\"]\n    ]\n]\n\n//Generated CSV\n//a,a,b,b,c,c\n//a1,a2,b1,b2,c1,c2\n```\n\n### Formatting Functions\n\n**`createWriteStream(options)` or `.format(options)`**\n\nThis is the lowest level of the write methods, it creates a stream that can be used to create a csv of unknown size and pipe to an output csv.\n\n```javascript\nvar csvStream = csv.createWriteStream({headers: true}),\n    writableStream = fs.createWriteStream(\"my.csv\");\n\nwritableStream.on(\"finish\", function(){\n  console.log(\"DONE!\");\n});\n\ncsvStream.pipe(writableStream);\ncsvStream.write({a: \"a0\", b: \"b0\"});\ncsvStream.write({a: \"a1\", b: \"b1\"});\ncsvStream.write({a: \"a2\", b: \"b2\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.end();\n\n//or\n\nvar csvStream = csv.format({headers: true}),\n    writableStream = fs.createWriteStream(\"my.csv\");\n\nwritableStream.on(\"finish\", function(){\n  console.log(\"DONE!\");\n});\n\ncsvStream.pipe(writableStream);\ncsvStream.write({a: \"a0\", b: \"b0\"});\ncsvStream.write({a: \"a1\", b: \"b1\"});\ncsvStream.write({a: \"a2\", b: \"b2\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.end();\n```\n\nIf you wish to transform rows as writing then you can use the `.transform` method.\n\n```javascript\nvar csvStream = csv\n    .createWriteStream({headers: true})\n    .transform(function(row){\n        return {\n           A: row.a,\n           B: row.b\n        };\n    }),\n    writableStream = fs.createWriteStream(\"my.csv\");\n\nwritableStream.on(\"finish\", function(){\n  console.log(\"DONE!\");\n});\n\ncsvStream.pipe(writableStream);\ncsvStream.write({a: \"a0\", b: \"b0\"});\ncsvStream.write({a: \"a1\", b: \"b1\"});\ncsvStream.write({a: \"a2\", b: \"b2\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.end();\n\n//or\nvar csvStream = csv\n    .format({headers: true})\n    .transform(function(row){\n        return {\n           A: row.a,\n           B: row.b\n        };\n    }),\n    writableStream = fs.createWriteStream(\"my.csv\");\n\nwritableStream.on(\"finish\", function(){\n  console.log(\"DONE!\");\n});\n\ncsvStream.pipe(writableStream);\ncsvStream.write({a: \"a0\", b: \"b0\"});\ncsvStream.write({a: \"a1\", b: \"b1\"});\ncsvStream.write({a: \"a2\", b: \"b2\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.end();\n```\n\nTransform can also be async by accepting a callback.\n\n\n```javascript\nvar csvStream = csv\n    .createWriteStream({headers: true})\n    .transform(function(row, next){\n        setImmediate(function(){\n            next(null, {A: row.a, B: row.b});\n        });;\n    }),\n    writableStream = fs.createWriteStream(\"my.csv\");\n\nwritableStream.on(\"finish\", function(){\n  console.log(\"DONE!\");\n});\n\ncsvStream.pipe(writableStream);\ncsvStream.write({a: \"a0\", b: \"b0\"});\ncsvStream.write({a: \"a1\", b: \"b1\"});\ncsvStream.write({a: \"a2\", b: \"b2\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.end();\n\n//or\n\nvar csvStream = csv\n    .format({headers: true})\n    .transform(function(row, next){\n        setImmediate(function(){\n            next(null, {A: row.a, B: row.b});\n        });;\n    }),\n    writableStream = fs.createWriteStream(\"my.csv\");\n\nwritableStream.on(\"finish\", function(){\n  console.log(\"DONE!\");\n});\n\ncsvStream.pipe(writableStream);\ncsvStream.write({a: \"a0\", b: \"b0\"});\ncsvStream.write({a: \"a1\", b: \"b1\"});\ncsvStream.write({a: \"a2\", b: \"b2\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.write({a: \"a3\", b: \"b4\"});\ncsvStream.end();\n```\n\n**Writing Data**\n\nEach of the following methods accept an array of values to be written, however each value must be an `array` of `array`s or `object`s.\n\n**`write(arr[, options])`**\n\nCreate a readable stream to read data from.\n\n```javascript\nvar ws = fs.createWriteStream(\"my.csv\");\ncsv\n   .write([\n       [\"a\", \"b\"],\n       [\"a1\", \"b1\"],\n       [\"a2\", \"b2\"]\n   ], {headers: true})\n   .pipe(ws);\n```\n\n```javascript\nvar ws = fs.createWriteStream(\"my.csv\");\ncsv\n   .write([\n       {a: \"a1\", b: \"b1\"},\n       {a: \"a2\", b: \"b2\"}\n   ], {headers: true})\n   .pipe(ws);\n```\n\n```javascript\nvar ws = fs.createWriteStream(\"my.csv\");\ncsv\n   .write([\n       {a: \"a1\", b: \"b1\"},\n       {a: \"a2\", b: \"b2\"}\n   ], {\n        headers: true\n        transform: function(row){\n            return {\n                A: row.a,\n                B: row.b\n            };\n        }\n   })\n   .pipe(ws);\n```\n\n\n\n**`writeToStream(stream,arr[, options])`**\n\nWrite an array of values to a `WritableStream`\n\n```javascript\ncsv\n   .writeToStream(fs.createWriteStream(\"my.csv\"), [\n       [\"a\", \"b\"],\n       [\"a1\", \"b1\"],\n       [\"a2\", \"b2\"]\n   ], {headers: true});\n```\n\n```javascript\ncsv\n   .writeToStream(fs.createWriteStream(\"my.csv\"), [\n       {a: \"a1\", b: \"b1\"},\n       {a: \"a2\", b: \"b2\"}\n   ], {headers: true})\n   .pipe(ws);\n```\n\n```javascript\ncsv\n   .writeToStream(fs.createWriteStream(\"my.csv\"), [\n       {a: \"a1\", b: \"b1\"},\n       {a: \"a2\", b: \"b2\"}\n   ], {\n        headers: true,\n        transform: function(row){\n            return {\n                A: row.a,\n                B: row.b\n            };\n        }\n   })\n   .pipe(ws);\n```\n\n**`writeToPath(path, arr[, options])`**\n\nWrite an array of values to the specified path\n\n```javascript\ncsv\n   .writeToPath(\"my.csv\", [\n       [\"a\", \"b\"],\n       [\"a1\", \"b1\"],\n       [\"a2\", \"b2\"]\n   ], {headers: true})\n   .on(\"finish\", function(){\n       console.log(\"done!\");\n   });\n```\n\n```javascript\ncsv\n   .writeToStream(\"my.csv\", [\n       {a: \"a1\", b: \"b1\"},\n       {a: \"a2\", b: \"b2\"}\n   ], {headers: true})\n   .on(\"finish\", function(){\n      console.log(\"done!\");\n   });\n```\n\n```javascript\ncsv\n   .writeToStream(\"my.csv\", [\n       {a: \"a1\", b: \"b1\"},\n       {a: \"a2\", b: \"b2\"}\n   ], {\n        headers: true,\n        transform: function(row){\n            return {\n                A: row.a,\n                B: row.b\n            };\n        }\n   })\n   .on(\"finish\", function(){\n      console.log(\"done!\");\n   });\n```\n\n**`writeToString(arr[, options], cb)`**\n\n```javascript\ncsv.writeToString(\n    [\n        [\"a\", \"b\"],\n        [\"a1\", \"b1\"],\n        [\"a2\", \"b2\"]\n    ],\n    {headers: true},\n    function(err, data){\n        console.log(data); //\"a,b\\na1,b1\\na2,b2\\n\"\n    }\n);\n```\n\n```javascript\ncsv.writeToString(\n    [\n        {a: \"a1\", b: \"b1\"},\n        {a: \"a2\", b: \"b2\"}\n    ],\n    {headers: true},\n    function(err, data){\n        console.log(data); //\"a,b\\na1,b1\\na2,b2\\n\"\n    }\n);\n```\n\n```javascript\ncsv.writeToString(\n    [\n        {a: \"a1\", b: \"b1\"},\n        {a: \"a2\", b: \"b2\"}\n    ],\n    {\n        headers: true,\n        transform: function (row) {\n            return {\n                A: row.a,\n                B: row.b\n            };\n        }\n    },\n    function (err, data) {\n        console.log(data); //\"A,B\\na1,b1\\na2,b2\\n\"\n    }\n);\n```\n\n## Piping from Parser to Writer\n\nYou can use `fast-csv` to pipe the output from a parsed CSV to a transformed CSV by setting the parser to `objectMode` and using `createWriteStream`.\n\n```javascript\ncsv\n   .fromPath(\"in.csv\", {headers: true})\n   .pipe(csv.createWriteStream({headers: true}))\n   .pipe(fs.createWriteStream(\"out.csv\", {encoding: \"utf8\"}));\n```\n\nWhen piping from a parser to a formatter the transforms are maintained also.\n\n\n```javascript\ncsv\n   .fromPath(\"in.csv\", {headers: true})\n   .transform(function(obj){\n        return {\n            name: obj.Name,\n            address: obj.Address,\n            emailAddress: obj.Email_Address,\n            verified: obj.Verified\n        };\n   })\n   .pipe(csv.createWriteStream({headers: true}))\n   .pipe(fs.createWriteStream(\"out.csv\", {encoding: \"utf8\"}));\n```\n\nThe output will contain formatted result from the transform function.\n\nIf you want to transform on the formatting side\n\n\n```javascript\nvar formatStream = csv\n        .createWriteStream({headers: true})\n        .transform(function(obj){\n            return {\n                name: obj.Name,\n                address: obj.Address,\n                emailAddress: obj.Email_Address,\n                verified: obj.Verified\n            };\n        });\ncsv\n   .fromPath(\"in.csv\", {headers: true})\n   .pipe(formatStream)\n   .pipe(fs.createWriteStream(\"out.csv\", {encoding: \"utf8\"}));\n```\n\n## Quoting Columns\n\nSometimes you may need to quote columns is certain ways in order meet certain requirements. `fast-csv` can quote columns and headers almost anyway you may need.\n\n**Note** in the following example we use `writeToString` but the options option are valid for any of the formatting methods.\n\n### `quoteColumns`\n\n```\n//quote all columns including headers\nvar objectData = [{a: \"a1\", b: \"b1\"}, {a: \"a2\", b: \"b2\"}],\n    arrayData = [[\"a\", \"b\"], [\"a1\", \"b1\"], [\"a2\", \"b2\"]];\ncsv.writeToString(objectData, {headers: true, quoteColumns: true}, function(err, data){\n    console.log(data); //\"a\",\"b\"\n                       //\"a1\",\"b1\"\n                       //\"a2\",\"b2\"\n});\n\n//only quote the \"a\" column\ncsv.writeToString(objectData, {headers: true, quoteColumns: {a: true}}, function(err, data){\n    console.log(data); //\"a\",b\n                       //\"a1\",b1\n                       //\"a2\",b2\n});\n\n//only quote the second column\ncsv.writeToString(arrayData, {headers: true, quoteColumns: [false, true]}, function(err, data){\n    console.log(data); //a,\"b\"\n                       //a1,\"b1\"\n                       //a2,\"b2\"\n});\n\n```\n\n### `quoteHeaders`\n\n```\n//quote all columns including headers\nvar objectData = [{a: \"a1\", b: \"b1\"}, {a: \"a2\", b: \"b2\"}],\n    arrayData = [[\"a\", \"b\"], [\"a1\", \"b1\"], [\"a2\", \"b2\"]];\ncsv.writeToString(objectData, {headers: true, quoteHeaders: true}, function(err, data){\n    console.log(data); //\"a\",\"b\"\n                       //a1,b1\n                       //a2,b2\n});\n\n//only quote the \"a\" column\ncsv.writeToString(objectData, {headers: true, quoteHeaders: {a: true}}, function(err, data){\n    console.log(data); //\"a\",b\n                       //a1,b1\n                       //a2,b2\n});\n\n//only quote the second column\ncsv.writeToString(arrayData, {headers: true, quoteHeaders: [false, true]}, function(err, data){\n    console.log(data); //a,\"b\"\n                       //a1,b1\n                       //a2,b2\n});\n\n//quoting columns and not headers\n\n//only quote the second column\ncsv.writeToString(arrayData, {headers: true, quoteHeaders: false, quoteColumns: true}, function(err, data){\n    console.log(data); //a,b\n                       //\"a1\",\"b1\"\n                       //\"a2\",\"b2\"\n});\n```\n\n## License\n\nMIT <https://github.com/C2FO/fast-csv/raw/master/LICENSE>\n\n##Meta\n* Code: `git clone git://github.com/C2FO/fast-csv.git`\n* Website: <http://c2fo.com>\n* Twitter: [http://twitter.com/c2fo](http://twitter.com/c2fo) - 877.465.4045\n",
  "readmeFilename": "README.md",
  "bugs": {
    "url": "https://github.com/C2FO/fast-csv/issues"
  },
  "_id": "fast-csv@0.6.0",
  "dist": {
    "shasum": "ea2a44a7758367ddd07cc10ffef45fda40f56330"
  },
  "_from": "fast-csv@~0.6.0 ",
  "_resolved": "https://registry.npmjs.org/fast-csv/-/fast-csv-0.6.0.tgz"
}