Monitor and influence AI Brains

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lbartoszcze from gravatar.com lbartoszcze

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Lukasz Bartoszcze and the Wisent Team
  • Tags nlp , machine learning , language models , safety , guardrails , lm-evaluation-harness
  • Requires: Python >=3.8
  • Provides-Extra: harness , reft , cuda , sparsify , app , zerogpu
Classifiers
Report project as malware

Project description

Wisent Banner

pip install wisent

Overview

Wisent allows you to control your AI by identifying brain patterns corresponding to responses you don't like, like hallucinations or harmful outputs. We use contrastive pairs of representations to detect when a model might be generating harmful content or hallucinating. Learn more at wisent.ai/documentation.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lbartoszcze from gravatar.com lbartoszcze

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Lukasz Bartoszcze and the Wisent Team
  • Tags nlp , machine learning , language models , safety , guardrails , lm-evaluation-harness
  • Requires: Python >=3.8
  • Provides-Extra: harness , reft , cuda , sparsify , app , zerogpu
Classifiers

Release history Release notifications | RSS feed

0.11.81

This version

0.11.80

0.11.79

0.11.78

0.11.77

0.11.76

0.11.75

0.11.74

0.11.73

0.11.72

0.11.71

0.11.70

0.11.69

0.11.68

0.11.67

0.11.66

0.11.65

0.11.64

0.11.63

0.11.62

0.11.61

0.11.60

0.11.59

0.11.58

0.11.57

0.11.56

0.11.55

0.11.54

0.11.53

0.11.52

0.11.51

0.11.50

0.11.49

0.11.48

0.11.47

0.11.46

0.11.45

0.11.43

0.11.42

0.11.41

0.11.40

0.11.39

0.11.38

0.11.37

0.11.36

0.11.35

0.11.34

0.11.33

0.11.32

0.11.31

0.11.30

0.11.29

0.11.28

0.11.27

0.11.26

0.11.25

0.11.24

0.11.23

0.11.22

0.11.21

0.11.20

0.11.19

0.11.18

0.11.17

0.11.16

0.11.15

0.11.14

0.11.13

0.11.12

0.11.11

0.11.10

0.11.9

0.11.8

0.11.7

0.11.6

0.11.5

0.11.4

0.11.3

0.11.2

0.11.1

0.10.60

0.10.58

0.10.57

0.10.56

0.10.55

0.10.54

0.10.53

0.10.52

0.10.51

0.10.50

0.10.49

0.10.48

0.10.47

0.10.46

0.10.45

0.10.44

0.10.43

0.10.42

0.10.41

0.10.40

0.10.39

0.10.38

0.10.37

0.10.36

0.10.35

0.10.34

0.10.33

0.10.32

0.10.31

0.10.30

0.10.29

0.10.28

0.10.27

0.10.26

0.10.25

0.10.24

0.10.23

0.10.22

0.10.21

0.10.20

0.10.19

0.10.18

0.10.17

0.10.16

0.10.15

0.10.14

0.10.13

0.10.12

0.10.11

0.10.10

0.10.9

0.10.8

0.10.7

0.10.6

0.10.5

0.10.4

0.10.3

0.10.2

0.10.1

0.10.0

0.9.38

0.9.37

0.9.36

0.9.35

0.9.34

0.9.33

0.9.32

0.9.31

0.9.30

0.9.29

0.9.28

0.9.27

0.9.26

0.9.25

0.9.24

0.9.23

0.9.22

0.9.21

0.9.20

0.9.19

0.9.18

0.9.17

0.9.16

0.9.15

0.9.14

0.9.13

0.9.12

0.9.11

0.9.10

0.9.9

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.2

0.8.1

0.8.0

0.7.1691

0.7.1690

0.7.1689

0.7.1688

0.7.1687

0.7.1686

0.7.1685

0.7.1684

0.7.1683

0.7.1682

0.7.1677

0.7.1676

0.7.1675

0.7.1674

0.7.1673

0.7.1672

0.7.1671

0.7.1670

0.7.1669

0.7.1668

0.7.1667

0.7.1666

0.7.1665

0.7.1664

0.7.1663

0.7.1662

0.7.1661

0.7.1660

0.7.1659

0.7.1658

0.7.1657

0.7.1656

0.7.1655

0.7.1654

0.7.1653

0.7.1652

0.7.1651

0.7.1650

0.7.1649

0.7.1648

0.7.1647

0.7.1646

0.7.1645

0.7.1644

0.7.1643

0.7.1642

0.7.1641

0.7.1640

0.7.1639

0.7.1638

0.7.1637

0.7.1636

0.7.1635

0.7.1634

0.7.1633

0.7.1632

0.7.1631

0.7.1630

0.7.1629

0.7.1628

0.7.1627

0.7.1626

0.7.1625

0.7.1624

0.7.1623

0.7.1622

0.7.1621

0.7.1620

0.7.1619

0.7.1618

0.7.1617

0.7.1616

0.7.1615

0.7.1614

0.7.1613

0.7.1612

0.7.1611

0.7.1610

0.7.1609

0.7.1608

0.7.1607

0.7.1606

0.7.1605

0.7.1604

0.7.1603

0.7.1602

0.7.1601

0.7.1600

0.7.1599

0.7.1598

0.7.1597

0.7.1596

0.7.1595

0.7.1594

0.7.1593

0.7.1592

0.7.1591

0.7.1590

0.7.1589

0.7.1588

0.7.1587

0.7.1586

0.7.1585

0.7.1584

0.7.1583

0.7.1582

0.7.1581

0.7.1580

0.7.1579

0.7.1578

0.7.1577

0.7.1576

0.7.1575

0.7.1574

0.7.1573

0.7.1572

0.7.1571

0.7.1570

0.7.1569

0.7.1568

0.7.1567

0.7.1566

0.7.1565

0.7.1564

0.7.1563

0.7.1562

0.7.1561

0.7.1560

0.7.1559

0.7.1558

0.7.1557

0.7.1556

0.7.1555

0.7.1554

0.7.1553

0.7.1552

0.7.1551

0.7.1550

0.7.1549

0.7.1548

0.7.1547

0.7.1546

0.7.1545

0.7.1543

0.7.1542

0.7.1541

0.7.1540

0.7.1539

0.7.1538

0.7.1537

0.7.1536

0.7.1535

0.7.1534

0.7.1533

0.7.1532

0.7.1531

0.7.1530

0.7.1529

0.7.1528

0.7.1527

0.7.1526

0.7.1525

0.7.1524

0.7.1523

0.7.1522

0.7.1521

0.7.1520

0.7.1519

0.7.1518

0.7.1517

0.7.1516

0.7.1515

0.7.1514

0.7.1512

0.7.1511

0.7.1510

0.7.1509

0.7.1508

0.7.1506

0.7.1505

0.7.1504

0.7.1503

0.7.1502

0.7.1501

0.7.1500

0.7.1499

0.7.1498

0.7.1497

0.7.1496

0.7.1495

0.7.1494

0.7.1493

0.7.1492

0.7.1491

0.7.1489

0.7.1488

0.7.1487

0.7.1486

0.7.1485

0.7.1484

0.7.1483

0.7.1482

0.7.1481

0.7.1480

0.7.1479

0.7.1478

0.7.1477

0.7.1476

0.7.1475

0.7.1474

0.7.1473

0.7.1472

0.7.1471

0.7.1470

0.7.1469

0.7.1468

0.7.1467

0.7.1466

0.7.1465

0.7.1464

0.7.1463

0.7.1462

0.7.1461

0.7.1460

0.7.1459

0.7.1458

0.7.1457

0.7.1456

0.7.1454

0.7.1453

0.7.1452

0.7.1450

0.7.1449

0.7.1448

0.7.1447

0.7.1446

0.7.1445

0.7.1444

0.7.1443

0.7.1442

0.7.1441

0.7.1440

0.7.1439

0.7.1438

0.7.1437

0.7.1436

0.7.1435

0.7.1434

0.7.1433

0.7.1432

0.7.1431

0.7.1430

0.7.1429

0.7.1428

0.7.1427

0.7.1426

0.7.1425

0.7.1424

0.7.1423

0.7.1422

0.7.1421

0.7.1420

0.7.1419

0.7.1418

0.7.1417

0.7.1416

0.7.1415

0.7.1414

0.7.1413

0.7.1412

0.7.1410

0.7.1409

0.7.1408

0.7.1407

0.7.1406

0.7.1405

0.7.1404

0.7.1403

0.7.1402

0.7.1401

0.7.1400

0.7.1399

0.7.1398

0.7.1397

0.7.1396

0.7.1395

0.7.1394

0.7.1393

0.7.1392

0.7.1391

0.7.1390

0.7.1389

0.7.1388

0.7.1387

0.7.1386

0.7.1385

0.7.1384

0.7.1383

0.7.1382

0.7.1381

0.7.1380

0.7.1379

0.7.1378

0.7.1377

0.7.1376

0.7.1375

0.7.1374

0.7.1373

0.7.1372

0.7.1371

0.7.1370

0.7.1369

0.7.1368

0.7.1367

0.7.1366

0.7.1365

0.7.1364

0.7.1363

0.7.1362

0.7.1361

0.7.1360

0.7.1359

0.7.1358

0.7.1357

0.7.1356

0.7.1355

0.7.1354

0.7.1353

0.7.1352

0.7.1351

0.7.1350

0.7.1349

0.7.1348

0.7.1347

0.7.1346

0.7.1345

0.7.1344

0.7.1343

0.7.1342

0.7.1341

0.7.1340

0.7.1339

0.7.1338

0.7.1337

0.7.1336

0.7.1335

0.7.1334

0.7.1333

0.7.1332

0.7.1331

0.7.1330

0.7.1329

0.7.1328

0.7.1327

0.7.1326

0.7.1325

0.7.1324

0.7.1323

0.7.1322

0.7.1321

0.7.1320

0.7.1319

0.7.1318

0.7.1317

0.7.1316

0.7.1315

0.7.1314

0.7.1313

0.7.1312

0.7.1311

0.7.1310

0.7.1309

0.7.1308

0.7.1307

0.7.1306

0.7.1305

0.7.1304

0.7.1303

0.7.1302

0.7.1301

0.7.1300

0.7.1299

0.7.1298

0.7.1297

0.7.1296

0.7.1295

0.7.1294

0.7.1293

0.7.1292

0.7.1291

0.7.1290

0.7.1289

0.7.1288

0.7.1287

0.7.1284

0.7.1283

0.7.1282

0.7.1281

0.7.1280

0.7.1279

0.7.1278

0.7.1277

0.7.1276

0.7.1275

0.7.1274

0.7.1273

0.7.1272

0.7.1271

0.7.1270

0.7.1269

0.7.1268

0.7.1267

0.7.1266

0.7.1265

0.7.1263

0.7.1262

0.7.1261

0.7.1260

0.7.1259

0.7.1258

0.7.1257

0.7.1256

0.7.1255

0.7.1254

0.7.1253

0.7.1252

0.7.1251

0.7.1250

0.7.1249

0.7.1248

0.7.1247

0.7.1246

0.7.1245

0.7.1244

0.7.1243

0.7.1242

0.7.1241

0.7.1240

0.7.1239

0.7.1238

0.7.1237

0.7.1236

0.7.1235

0.7.1234

0.7.1233

0.7.1232

0.7.1231

0.7.1230

0.7.1229

0.7.1228

0.7.1227

0.7.1226

0.7.1225

0.7.1224

0.7.1223

0.7.1221

0.7.1220

0.7.1219

0.7.1218

0.7.1217

0.7.1216

0.7.1215

0.7.1214

0.7.1213

0.7.1212

0.7.1211

0.7.1210

0.7.1209

0.7.1208

0.7.1207

0.7.1206

0.7.1205

0.7.1204

0.7.1203

0.7.1202

0.7.1196

0.7.1195

0.7.1194

0.7.1193

0.7.1192

0.7.1191

0.7.1190

0.7.1189

0.7.1188

0.7.1187

0.7.1186

0.7.1185

0.7.1184

0.7.1183

0.7.1182

0.7.1181

0.7.1180

0.7.1179

0.7.1178

0.7.1177

0.7.1176

0.7.1175

0.7.1174

0.7.1173

0.7.1172

0.7.1171

0.7.1170

0.7.1169

0.7.1168

0.7.1167

0.7.1166

0.7.1165

0.7.1164

0.7.1163

0.7.1162

0.7.1161

0.7.1160

0.7.1158

0.7.1157

0.7.1156

0.7.1155

0.7.1154

0.7.1153

0.7.1152

0.7.1151

0.7.1150

0.7.1149

0.7.1148

0.7.1147

0.7.1146

0.7.1145

0.7.1144

0.7.1143

0.7.1142

0.7.1141

0.7.1140

0.7.1139

0.7.1138

0.7.1137

0.7.1136

0.7.1135

0.7.1134

0.7.1133

0.7.1132

0.7.1131

0.7.1130

0.7.1129

0.7.1128

0.7.1127

0.7.1126

0.7.1125

0.7.1124

0.7.1123

0.7.1122

0.7.1121

0.7.1120

0.7.1119

0.7.1118

0.7.1117

0.7.1116

0.7.1115

0.7.1114

0.7.1113

0.7.1112

0.7.1111

0.7.1110

0.7.1109

0.7.1108

0.7.1107

0.7.1106

0.7.1105

0.7.1104

0.7.1103

0.7.1102

0.7.1101

0.7.1100

0.7.1099

0.7.1098

0.7.1097

0.7.1096

0.7.1095

0.7.1094

0.7.1093

0.7.1092

0.7.1091

0.7.1090

0.7.1089

0.7.1088

0.7.1087

0.7.1086

0.7.1085

0.7.1084

0.7.1083

0.7.1082

0.7.1081

0.7.1080

0.7.1079

0.7.1078

0.7.1077

0.7.1076

0.7.1075

0.7.1074

0.7.1073

0.7.1072

0.7.1071

0.7.1070

0.7.1069

0.7.1068

0.7.1067

0.7.1066

0.7.1065

0.7.1064

0.7.1063

0.7.1062

0.7.1061

0.7.1060

0.7.1059

0.7.1058

0.7.1057

0.7.1056

0.7.1055

0.7.1054

0.7.1053

0.7.1052

0.7.1051

0.7.1050

0.7.1049

0.7.1048

0.7.1047

0.7.1046

0.7.1045

0.7.1044

0.7.1043

0.7.1042

0.7.1041

0.7.1040

0.7.1039

0.7.1038

0.7.1037

0.7.1036

0.7.1035

0.7.1034

0.7.1033

0.7.1032

0.7.1031

0.7.1030

0.7.1029

0.7.1028

0.7.1027

0.7.1026

0.7.1025

0.7.1024

0.7.1023

0.7.1022

0.7.1021

0.7.1020

0.7.1019

0.7.1018

0.7.1017

0.7.1016

0.7.1015

0.7.1014

0.7.1013

0.7.1012

0.7.1011

0.7.1010

0.7.1009

0.7.1008

0.7.1007

0.7.1006

0.7.1005

0.7.1004

0.7.1003

0.7.1002

0.7.1001

0.7.1000

0.7.999

0.7.998

0.7.997

0.7.996

0.7.995

0.7.994

0.7.993

0.7.992

0.7.991

0.7.990

0.7.989

0.7.988

0.7.987

0.7.986

0.7.985

0.7.984

0.7.983

0.7.982

0.7.981

0.7.980

0.7.979

0.7.978

0.7.977

0.7.976

0.7.975

0.7.974

0.7.973

0.7.972

0.7.971

0.7.970

0.7.969

0.7.968

0.7.967

0.7.966

0.7.965

0.7.964

0.7.963

0.7.962

0.7.961

0.7.960

0.7.959

0.7.958

0.7.957

0.7.956

0.7.955

0.7.954

0.7.953

0.7.952

0.7.951

0.7.950

0.7.949

0.7.948

0.7.947

0.7.946

0.7.945

0.7.944

0.7.943

0.7.942

0.7.941

0.7.940

0.7.939

0.7.938

0.7.937

0.7.936

0.7.935

0.7.934

0.7.933

0.7.932

0.7.931

0.7.930

0.7.929

0.7.928

0.7.927

0.7.926

0.7.925

0.7.924

0.7.923

0.7.922

0.7.921

0.7.920

0.7.919

0.7.918

0.7.916

0.7.915

0.7.914

0.7.913

0.7.912

0.7.911

0.7.910

0.7.909

0.7.908

0.7.907

0.7.906

0.7.905

0.7.904

0.7.903

0.7.902

0.7.901

0.7.900

0.7.899

0.7.898

0.7.897

0.7.896

0.7.895

0.7.894

0.7.893

0.7.892

0.7.891

0.7.890

0.7.889

0.7.888

0.7.887

0.7.886

0.7.885

0.7.884

0.7.883

0.7.882

0.7.881

0.7.880

0.7.879

0.7.878

0.7.877

0.7.876

0.7.875

0.7.874

0.7.873

0.7.872

0.7.871

0.7.870

0.7.869

0.7.868

0.7.867

0.7.866

0.7.865

0.7.863

0.7.862

0.7.861

0.7.853

0.7.852

0.7.851

0.7.815

0.7.814

0.7.813

0.7.812

0.7.811

0.7.810

0.7.809

0.7.808

0.7.807

0.7.806

0.7.805

0.7.804

0.7.803

0.7.802

0.7.801

0.7.800

0.7.799

0.7.798

0.7.797

0.7.796

0.7.795

0.7.794

0.7.793

0.7.792

0.7.791

0.7.790

0.7.789

0.7.788

0.7.787

0.7.786

0.7.785

0.7.784

0.7.783

0.7.782

0.7.781

0.7.780

0.7.779

0.7.778

0.7.777

0.7.776

0.7.775

0.7.774

0.7.773

0.7.772

0.7.771

0.7.770

0.7.769

0.7.768

0.7.767

0.7.766

0.7.765

0.7.764

0.7.763

0.7.762

0.7.761

0.7.760

0.7.759

0.7.758

0.7.757

0.7.756

0.7.755

0.7.754

0.7.753

0.7.752

0.7.751

0.7.750

0.7.749

0.7.748

0.7.747

0.7.746

0.7.745

0.7.744

0.7.743

0.7.742

0.7.741

0.7.740

0.7.739

0.7.738

0.7.737

0.7.736

0.7.735

0.7.734

0.7.733

0.7.732

0.7.731

0.7.730

0.7.729

0.7.728

0.7.727

0.7.726

0.7.725

0.7.724

0.7.723

0.7.722

0.7.721

0.7.720

0.7.719

0.7.718

0.7.717

0.7.716

0.7.715

0.7.714

0.7.713

0.7.712

0.7.711

0.7.710

0.7.709

0.7.708

0.7.707

0.7.706

0.7.705

0.7.704

0.7.702

0.7.701

0.7.613

0.7.612

0.7.611

0.7.610

0.7.608

0.7.607

0.7.606

0.7.605

0.7.604

0.7.603

0.7.602

0.7.601

0.7.575

0.7.574

0.7.573

0.7.572

0.7.571

0.7.570

0.7.569

0.7.568

0.7.567

0.7.566

0.7.565

0.7.564

0.7.563

0.7.562

0.7.554

0.7.553

0.7.552

0.7.551

0.7.546

0.7.545

0.7.544

0.7.543

0.7.542

0.7.541

0.7.540

0.7.539

0.7.538

0.7.537

0.7.536

0.7.535

0.7.534

0.7.533

0.7.532

0.7.531

0.7.530

0.7.529

0.7.528

0.7.527

0.7.526

0.7.525

0.7.524

0.7.523

0.7.522

0.7.521

0.7.520

0.7.519

0.7.518

0.7.517

0.7.516

0.7.515

0.7.514

0.7.512

0.7.511

0.7.510

0.7.509

0.7.507

0.7.506

0.7.504

0.7.503

0.7.502

0.7.501

0.7.500

0.7.499

0.7.498

0.7.497

0.7.496

0.7.495

0.7.494

0.7.493

0.7.492

0.7.491

0.7.490

0.7.489

0.7.488

0.7.487

0.7.486

0.7.485

0.7.484

0.7.483

0.7.482

0.7.474

0.7.473

0.7.472

0.7.471

0.7.470

0.7.469

0.7.468

0.7.467

0.7.466

0.7.465

0.7.464

0.7.463

0.7.462

0.7.461

0.7.460

0.7.458

0.7.457

0.7.456

0.7.455

0.7.454

0.7.453

0.7.452

0.7.451

0.7.450

0.7.444

0.7.443

0.7.442

0.7.440

0.7.439

0.7.438

0.7.437

0.7.436

0.7.435

0.7.434

0.7.433

0.7.432

0.7.431

0.7.430

0.7.429

0.7.428

0.7.426

0.7.425

0.7.424

0.7.423

0.7.422

0.7.421

0.7.420

0.7.419

0.7.418

0.7.417

0.7.416

0.7.415

0.7.414

0.7.413

0.7.412

0.7.411

0.7.410

0.7.409

0.7.404

0.7.403

0.7.401

0.7.400

0.7.399

0.7.398

0.7.397

0.7.396

0.7.395

0.7.394

0.7.393

0.7.392

0.7.391

0.7.390

0.7.389

0.7.388

0.7.387

0.7.386

0.7.385

0.7.384

0.7.383

0.7.382

0.7.381

0.7.380

0.7.379

0.7.378

0.7.377

0.7.376

0.7.375

0.7.374

0.7.373

0.7.372

0.7.371

0.7.370

0.7.369

0.7.367

0.7.366

0.7.365

0.7.364

0.7.363

0.7.362

0.7.361

0.7.360

0.7.359

0.7.358

0.7.357

0.7.356

0.7.355

0.7.354

0.7.353

0.7.352

0.7.351

0.7.350

0.7.349

0.7.348

0.7.347

0.7.345

0.7.344

0.7.342

0.7.341

0.7.340

0.7.339

0.7.338

0.7.337

0.7.336

0.7.335

0.7.334

0.7.333

0.7.332

0.7.331

0.7.330

0.7.329

0.7.328

0.7.327

0.7.326

0.7.325

0.7.324

0.7.322

0.7.321

0.7.319

0.7.318

0.7.317

0.7.316

0.7.315

0.7.314

0.7.313

0.7.312

0.7.310

0.7.309

0.7.308

0.7.307

0.7.306

0.7.304

0.7.303

0.7.302

0.7.301

0.7.300

0.7.299

0.7.298

0.7.297

0.7.296

0.7.295

0.7.294

0.7.293

0.7.292

0.7.291

0.7.289

0.7.287

0.7.286

0.7.285

0.7.284

0.7.283

0.7.282

0.7.281

0.7.280

0.7.279

0.7.278

0.7.277

0.7.276

0.7.275

0.7.274

0.7.272

0.7.271

0.7.270

0.7.269

0.7.268

0.7.267

0.7.266

0.7.265

0.7.264

0.7.263

0.7.262

0.7.261

0.7.260

0.7.259

0.7.258

0.7.256

0.7.255

0.7.254

0.7.253

0.7.252

0.7.251

0.7.250

0.7.249

0.7.248

0.7.247

0.7.243

0.7.242

0.7.241

0.7.240

0.7.239

0.7.238

0.7.237

0.7.236

0.7.235

0.7.234

0.7.233

0.7.230

0.7.229

0.7.228

0.7.227

0.7.226

0.7.225

0.7.224

0.7.223

0.7.222

0.7.221

0.7.220

0.7.219

0.7.218

0.7.217

0.7.216

0.7.215

0.7.214

0.7.212

0.7.211

0.7.210

0.7.209

0.7.208

0.7.206

0.7.204

0.7.203

0.7.201

0.7.200

0.7.199

0.7.198

0.7.197

0.7.194

0.7.193

0.7.192

0.7.191

0.7.190

0.7.189

0.7.188

0.7.186

0.7.185

0.7.184

0.7.183

0.7.182

0.7.181

0.7.180

0.7.179

0.7.178

0.7.177

0.7.175

0.7.174

0.7.173

0.7.172

0.7.171

0.7.170

0.7.169

0.7.168

0.7.167

0.7.166

0.7.165

0.7.164

0.7.163

0.7.162

0.7.161

0.7.160

0.7.159

0.7.158

0.7.157

0.7.156

0.7.155

0.7.154

0.7.153

0.7.152

0.7.151

0.7.150

0.7.149

0.7.148

0.7.147

0.7.146

0.7.144

0.7.143

0.7.142

0.7.141

0.7.140

0.7.139

0.7.138

0.7.137

0.7.136

0.7.135

0.7.134

0.7.133

0.7.132

0.7.131

0.7.130

0.7.129

0.7.128

0.7.127

0.7.126

0.7.125

0.7.124

0.7.123

0.7.122

0.7.121

0.7.120

0.7.119

0.7.118

0.7.117

0.7.116

0.7.115

0.7.114

0.7.113

0.7.112

0.7.111

0.7.110

0.7.109

0.7.108

0.7.107

0.7.106

0.7.105

0.7.104

0.7.103

0.7.102

0.7.101

0.7.100

0.7.98

0.7.97

0.7.96

0.7.95

0.7.93

0.7.92

0.7.91

0.7.89

0.7.88

0.7.87

0.7.86

0.7.84

0.7.82

0.7.81

0.7.80

0.7.79

0.7.78

0.7.77

0.7.76

0.7.75

0.7.74

0.7.73

0.7.72

0.7.71

0.7.70

0.7.69

0.7.68

0.7.67

0.7.66

0.7.65

0.7.64

0.7.63

0.7.62

0.7.61

0.7.60

0.7.59

0.7.58

0.7.57

0.7.56

0.7.55

0.7.54

0.7.53

0.7.52

0.7.51

0.7.50

0.7.49

0.7.48

0.7.47

0.7.46

0.7.45

0.7.44

0.7.43

0.7.42

0.7.41

0.7.40

0.7.39

0.7.38

0.7.37

0.7.36

0.7.35

0.7.34

0.7.33

0.7.32

0.7.31

0.7.30

0.7.29

0.7.28

0.7.27

0.7.26

0.7.25

0.7.23

0.7.22

0.7.21

0.7.19

0.7.18

0.7.17

0.7.16

0.7.15

0.7.13

0.7.12

0.7.11

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.5.85

0.5.84

0.5.83

0.5.82

0.5.81

0.5.80

0.5.79

0.5.78

0.5.77

0.5.76

0.5.75

0.5.74

0.5.73

0.5.72

0.5.69

0.5.68

0.5.67

0.5.65

0.5.64

0.5.63

0.5.62

0.5.61

0.5.60

0.5.59

0.5.58

0.5.57

0.5.56

0.5.55

0.5.54

0.5.53

0.5.52

0.5.51

0.5.50

0.5.49

0.5.48

0.5.47

0.5.46

0.5.45

0.5.44

0.5.43

0.5.42

0.5.41

0.5.40

0.5.39

0.5.38

0.5.37

0.5.36

0.5.35

0.5.34

0.5.33

0.5.32

0.5.31

0.5.30

0.5.29

0.5.28

0.5.27

0.5.26

0.5.25

0.5.24

0.5.23

0.5.22

0.5.21

0.5.20

0.5.19

0.5.18

0.5.17

0.5.16

0.5.15

0.5.14

0.5.13

0.5.12

0.5.11

0.5.10

0.5.9

0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.1.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wisent-0.11.80.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wisent-0.11.80-py3-none-any.whl (2.5 MB view details)

Uploaded Python 3

File details

Details for the file wisent-0.11.80.tar.gz.

File metadata

  • Download URL: wisent-0.11.80.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for wisent-0.11.80.tar.gz
Algorithm Hash digest
SHA256 04b021f38fed994bb838aadf237512633459e10e17e6bf46f03b3a0798dde914
MD5 b305c9f6a6ee1b37024c53aa0d43ea9e
BLAKE2b-256 0ff52fa907f28978d5f03999d27f9ed535daf58294eee2517dae240698765898

See more details on using hashes here.

File details

Details for the file wisent-0.11.80-py3-none-any.whl.

File metadata

  • Download URL: wisent-0.11.80-py3-none-any.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for wisent-0.11.80-py3-none-any.whl
Algorithm Hash digest
SHA256 16881d85fb5faa015831f6bcd84f9d70a2084c02c1d77f836fc7671fb00efe31
MD5 bc4191089224e0c72736b9eaff0b00d1
BLAKE2b-256 afadcde1f7855c4bd65f5b439ae7b66a3894e8457d034981778a4d81a5a62cb5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page