Making it easier to use SEC filings.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for john-friedman from gravatar.com john-friedman

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: John Friedman
  • Provides-Extra: all , dataset-builder , mulebot , mulebot-server
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for john-friedman from gravatar.com john-friedman

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: John Friedman
  • Provides-Extra: all , dataset-builder , mulebot , mulebot-server

Release history Release notifications | RSS feed

3.6.4

3.6.3

3.6.1

3.6.0

3.5.2

3.5.1

3.5.0

3.4.3

3.4.1

3.4.0

3.3.0

3.2.9

3.2.8

3.2.7

3.2.6

3.2.5

3.2.4

3.2.3

3.2.1

3.2.0

3.1.1

3.1.0

3.0.6

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.4.3

2.4.2

2.4.1

2.4.0

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.0

2.2.9

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.9.0

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.1

1.7.0

1.6.9

1.6.8

1.6.7

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.9

1.5.8

1.5.6

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.9

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.0

1.3.1

1.3.0

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.8

1.1.7

1.1.6

1.1.5

1.1.1

1.1.0

1.0.9

1.0.8

1.0.7

1.0.6

1.0.3

1.0.2

1.0.0

0.430

0.429

0.428

0.427

0.426

0.424

0.423

0.422

0.421

0.420

0.418

0.417

0.416

This version

0.415

0.414

0.413

0.411

0.410

0.408

0.407

0.405

0.401

0.400

0.381

0.380

0.379

0.378

0.377

0.376

0.374

0.373

0.372

0.371

0.369

0.368

0.367

0.366

0.365

0.364

0.363

0.362

0.361

0.360

0.357

0.356

0.355

0.352

0.351

0.350

0.343

0.342

0.341

0.340

0.339

0.338

0.337

0.336

0.335

0.334

0.333

0.332

0.331

0.330

0.323

0.320

0.314

0.312

0.311

0.302

0.301

0.29

0.26

0.25

0.24

0.23

0.22

0.21

0.20

0.17

0.16

0.15

0.14

0.12

0.11

0.5.0

0.1

Download files

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

Source Distribution

datamule-0.415.tar.gz (1.7 MB view details)

Uploaded Source

Built Distributions

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

datamule-0.415-cp311-cp311-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.11Windows x86-64

datamule-0.415-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

datamule-0.415-cp311-cp311-macosx_10_9_universal2.whl (1.8 MB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

datamule-0.415-cp310-cp310-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.10Windows x86-64

datamule-0.415-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

datamule-0.415-cp310-cp310-macosx_10_9_universal2.whl (1.8 MB view details)

Uploaded CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

datamule-0.415-cp39-cp39-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.9Windows x86-64

datamule-0.415-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

datamule-0.415-cp39-cp39-macosx_10_9_universal2.whl (1.8 MB view details)

Uploaded CPython 3.9macOS 10.9+ universal2 (ARM64, x86-64)

datamule-0.415-cp38-cp38-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.8Windows x86-64

datamule-0.415-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

datamule-0.415-cp38-cp38-macosx_11_0_universal2.whl (1.8 MB view details)

Uploaded CPython 3.8macOS 11.0+ universal2 (ARM64, x86-64)

File details

Details for the file datamule-0.415.tar.gz.

File metadata

  • Download URL: datamule-0.415.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for datamule-0.415.tar.gz
Algorithm Hash digest
SHA256 4449747d88a9a628258784f6a115b382e7c3dd9a5247285b21540b616b99ea20
MD5 c9f0460adafe633a7e594fac1a737c8f
BLAKE2b-256 2b28e0ce9609af4359ed765d3b793e9f313fafab226752aa7daec99216bceb4c

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: datamule-0.415-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for datamule-0.415-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 966f247d059a2fef8f83d2052594b994201628ba591836cbe8ea8002ae0166e3
MD5 69d6b6c3140ad206c5f831eb7a5e3ca7
BLAKE2b-256 0ce6c3cfbc3a8d61910ab8609b59ec25a5e48dac40fc1c90fcdb8ab71a620ca3

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.415-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 54e45dc771d6e28853e8e42de8e4ccac08874a1e5c99845c41794b929f726c56
MD5 319cf2bd335550dce1d4c53a936e912f
BLAKE2b-256 91cec246d9971f46053a8035b91b7cc63ec18ff7331d1e440ecc2bd6557b333e

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.415-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d19cabe79b7d70b7375a06e62d7776272f4cc371201b3f920add3475f2687dd4
MD5 f08d39dc848dc83391d0ca10c3516bf4
BLAKE2b-256 3f877b228b7a97360ec6bd9c814233358e0aa48cd9590239ccf53d85070b7be6

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: datamule-0.415-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for datamule-0.415-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 37f2e79da35e1ed5345e6927f82e89a6ca726a71bbfeed1a2c944d9e36375466
MD5 0518a55bcf0e11110fc1de8d0232570f
BLAKE2b-256 5973acd2ff38c4772cd74691a8e0c2facf4e1fa6ad18990789a7b286ba5ad7ab

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.415-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 01521c42bb897131df7e851cc52598fd64e6fbf781a9a3e4482b99077ea07d7b
MD5 23cdcaaba44439cd05174200101f0f3e
BLAKE2b-256 287255a1465d2b1fc8261efd203860aa081c33eb014a6a50e0f58ef7bc8669c4

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.415-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 61de6b9acc25846fd91d0e894d1dda4c226170208232c0658dc5fc0fffac3e98
MD5 e41828195eb16a41c64c610eb08da141
BLAKE2b-256 420c0aae979eb5606bd7c53dea0763b6f9b177cfc9b67d691daef55733ce9a00

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: datamule-0.415-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for datamule-0.415-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 94a97516f5d272329926a4f4c290aac896436165f71c253602ece9fe7158f569
MD5 aa064c8058f8827f7f18a25cfe91de08
BLAKE2b-256 4864e3f8dacad3ef66576eacbc2bcd82f4bc9ce9885c1b2ef1ff26187ec484bc

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.415-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 081f45dd55c1b7b565c945e2f54f5d0c2b74762079437d08d24432adeaddf72b
MD5 08fe80cbc304729a91a245d3bbec1878
BLAKE2b-256 1363103a548ea2ef8d91b54edc519c4c81a9944d2fbf9912189ccd573b02e106

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.415-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 55373d528f2c29e0bcc285d047f38da0219a10f054f15bb2d5c18cdc108142d7
MD5 77614c1db9a5748cb843fcc651517b4a
BLAKE2b-256 542b0a59df3a1bbfebcb8d0a47f572dbcc529b0e5ba846d91ea35e174cdbc380

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: datamule-0.415-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for datamule-0.415-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0bdbf2f3a3bce41fe091320be80a5c9a69b3981c897c2e68968293f679f3e551
MD5 e0914bd51cf347abf7cd6eae3d8bb509
BLAKE2b-256 088b8c56a401680fce5bc9ab262f637b3df35dd22de706446ac2710a8b1d5839

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.415-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 db54e217fd2865113326de326436c9819149661150678bbad48d38898174ad73
MD5 f58470227348ab4dc042a5dff03f7676
BLAKE2b-256 df33c5ab6fa7a859a3a3bdceec12bbcaccbf00320aba4acff0ad8d6d92e7cc2f

See more details on using hashes here.

File details

Details for the file datamule-0.415-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.415-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 42e1d8d8f3b1372c78f0751c08083d6234719590e0607826e08513ee992f3bba
MD5 ee94c0d722b0f50f163ae7205faf2d32
BLAKE2b-256 08f037926493a425965c05d39f358c4c9c0b12fe78a3eb7513f769b06d6076ac

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