diff --git a/.eslintrc.json b/.eslintrc.json
index 20f17f1..2693184 100644
--- a/.eslintrc.json
+++ b/.eslintrc.json
@@ -12,6 +12,7 @@
         "sourceType": "module",
         "project": ["./tsconfig.eslint.json"]
     },
+    "ignorePatterns": ["test/deno/*.ts"],
     "plugins": ["@typescript-eslint"],
     "rules": {
         "comma-dangle": "off",
diff --git a/test/deno/.vscode/extensions.json b/test/deno/.vscode/extensions.json
new file mode 100644
index 0000000..edcb1b7
--- /dev/null
+++ b/test/deno/.vscode/extensions.json
@@ -0,0 +1,3 @@
+{
+    "recommendations": ["denoland.vscode-deno"]
+}
diff --git a/test/deno/.vscode/settings.json b/test/deno/.vscode/settings.json
new file mode 100644
index 0000000..e4e1a58
--- /dev/null
+++ b/test/deno/.vscode/settings.json
@@ -0,0 +1,10 @@
+{
+    "editor.formatOnSave": true,
+    "editor.defaultFormatter": "denoland.vscode-deno",
+    "deno.enable": true,
+    "deno.config": "./deno.json",
+    "deno.lint": true,
+    "deno.suggest.imports.hosts": {
+        "https://deno.land": true
+    }
+}
diff --git a/test/deno/csv-parser.ts b/test/deno/csv-parser.ts
new file mode 100644
index 0000000..4feefd2
--- /dev/null
+++ b/test/deno/csv-parser.ts
@@ -0,0 +1,140 @@
+import pako from 'https://deno.land/x/pako@v2.0.3/pako.js';
+
+// @deno-types = "../../lib/types/csv.d.ts"
+import {
+    Column,
+    ColumnHeader,
+    CSV,
+    CsvLoaderOptions,
+    DataType,
+    isNumber,
+    LoadStatistics,
+} from '../../lib/csv.js';
+import type { NumberColumn } from '../../lib/types/types/column/numberColumn.d.ts';
+
+// Run with `deno run --config ./deno.json --allow-read --allow-net=api.varg.dev csv-parser.ts`
+
+const conf = JSON.parse(await Deno.readTextFile('../conf.json'));
+
+const options = new CsvLoaderOptions({
+    includesHeader: true,
+    delimiter: ',',
+});
+
+function onOpened(this: CSV, tag: string, columns: ColumnHeader[]): void {
+    console.log(
+        tag,
+        `opened source, detected ${columns.length} columns:\n` +
+            columns.map((c) => `${c.name}: ${DataType[c.type]}`).join('\n'),
+    );
+    this.load({
+        columns: columns.map((c) => c.type),
+        generatedColumns: [],
+    });
+}
+
+type Stats = {
+    tag: string;
+    rows: number;
+    kB: number;
+    time: number;
+    rowsPerSecond: number;
+    kBPerSecond: number;
+};
+const statistics = new Array<Stats>();
+
+function onDone(
+    this: CSV,
+    tag: string,
+    done: () => void,
+    columns: Column[],
+    stats: LoadStatistics,
+): void {
+    let columnsStats = '=== column stats: ===\n';
+    columnsStats += columns
+        .map((c) => {
+            let text = `${c.name}: ${c.length} rows`;
+            const asNum = c as NumberColumn;
+
+            if (isNumber(c.type)) text += `, min ${asNum.min}, max ${asNum.max}`;
+
+            return text;
+        })
+        .join('\n');
+
+    const timeMS = stats.performance.find((s) => s.label === 'open')!.delta +
+        stats.performance.find((s) => s.label === 'load')!.delta;
+    const timeS = timeMS / 1000;
+    const kB = stats.bytes / 1000;
+    const rows = columns[0].length;
+    const kRows = rows / 1000;
+
+    statistics.push({
+        tag,
+        rows,
+        kB,
+        time: timeS,
+        rowsPerSecond: rows / timeS,
+        kBPerSecond: kB / timeS,
+    });
+
+    const loaderStats = '=== loader stats: ===\n' +
+        `source bytes: ${stats.bytes}\n` +
+        `source chunks: ${stats.chunks}\n` +
+        `number of workers: ${stats.workers}\n` +
+        `read rows: ${rows}\n` +
+        `kB / worker: ${(kB / stats.workers).toFixed(3)}\n` +
+        `chunks / worker: ${(stats.chunks / stats.workers).toFixed(3)}\n` +
+        `total time in s: ${timeS.toFixed(3)}\n` +
+        `kB / s: ${(kB / timeS).toFixed(3)}\n` +
+        `kRows / s: ${(kRows / timeS).toFixed(3)}\n`;
+
+    console.log(tag, `done.\n${columnsStats}\n${loaderStats}`);
+
+    console.groupCollapsed('=== performance stats: ===');
+    stats.performance.forEach((m) => console.log(`${m.label}: ${m.delta} ms`));
+    console.groupEnd();
+
+    done();
+}
+
+function createLoader(tag: string, done: () => void): CSV {
+    const loader = new CSV(options);
+
+    loader.on('opened', onOpened.bind(loader, tag));
+    loader.on('columns', (columns: Column[]) => {
+        console.log(tag, 'received columns');
+        loader.on('done', onDone.bind(loader, tag, done, columns));
+    });
+    loader.on('data', (progress: number) => {
+        console.log(tag, `received new data. progress: ${progress}`);
+    });
+    loader.on('error', (msg: string) => {
+        console.log(tag, 'error:', msg);
+        done();
+    });
+
+    console.log(tag, 'created');
+
+    return loader;
+}
+
+function testUrl(tag: string, url: string): Promise<void> {
+    return new Promise<void>((resolve) => {
+        createLoader(tag, resolve).open(url);
+    });
+}
+
+function testGzipped(testCase: string, file: Uint8Array): Promise<void> {
+    return new Promise<void>((resolve) => {
+        createLoader(testCase, resolve).open((pako.inflate(file) as Uint8Array).buffer);
+    });
+}
+
+await testUrl('[remote url stream]', conf.url);
+await testGzipped('[1m gzip buffer]', await Deno.readFile('../data/1m.csv.gz'));
+// await testUrl('[10m url stream]', await Deno.readFile('../data/10m.csv'));
+// await testUrl('[50m url stream]', await Deno.readFile('../data/50m.csv'));
+// await testUrl('[100m url stream]', await Deno.readFile('../data/100m.csv'));
+
+console.table(statistics);
diff --git a/test/deno/deno.json b/test/deno/deno.json
new file mode 100644
index 0000000..576d8b9
--- /dev/null
+++ b/test/deno/deno.json
@@ -0,0 +1,15 @@
+{
+    "fmt": {
+        "options": {
+            "indentWidth": 4,
+            "lineWidth": 100,
+            "singleQuote": true
+        }
+    },
+    "compilerOptions": {
+        "lib": [
+            "deno.ns",
+            "dom"
+        ]
+    }
+}