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: mulebot , mulebot-server , dataset-builder , all
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: mulebot , mulebot-server , dataset-builder , all

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

This version

0.427

0.426

0.424

0.423

0.422

0.421

0.420

0.418

0.417

0.416

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-0.427.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-0.427-cp313-cp313-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.13Windows x86-64

datamule-0.427-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

datamule-0.427-cp313-cp313-macosx_10_13_universal2.whl (1.8 MB view details)

Uploaded CPython 3.13macOS 10.13+ universal2 (ARM64, x86-64)

datamule-0.427-cp312-cp312-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.12Windows x86-64

datamule-0.427-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

datamule-0.427-cp312-cp312-macosx_10_13_universal2.whl (1.8 MB view details)

Uploaded CPython 3.12macOS 10.13+ universal2 (ARM64, x86-64)

datamule-0.427-cp311-cp311-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.11Windows x86-64

datamule-0.427-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

datamule-0.427-cp311-cp311-macosx_10_9_universal2.whl (1.8 MB view details)

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

datamule-0.427-cp310-cp310-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.10Windows x86-64

datamule-0.427-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

datamule-0.427-cp310-cp310-macosx_10_9_universal2.whl (1.8 MB view details)

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

datamule-0.427-cp39-cp39-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.9Windows x86-64

datamule-0.427-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

datamule-0.427-cp39-cp39-macosx_10_9_universal2.whl (1.8 MB view details)

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

datamule-0.427-cp38-cp38-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.8Windows x86-64

datamule-0.427-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

datamule-0.427-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-0.427.tar.gz.

File metadata

  • Download URL: datamule-0.427.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-0.427.tar.gz
Algorithm Hash digest
SHA256 cdbd6112e508472f712fb97ecfeeac1426b0113ad49df5e39a7ca4eb2d526179
MD5 daf33071f02e25dd5d6c497d3b75e7f9
BLAKE2b-256 ba5acef33e0a952e3302d21d9df1225261a6fb0554a11b920661912784502701

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: datamule-0.427-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for datamule-0.427-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 1c5dc22ddc7908f6384152b424c77e88ac9795137ba829484a711236281a8b46
MD5 3c278eb65baf06bc162349bb7e910f44
BLAKE2b-256 fb781f1e3c656d71fba241f43d9f99d1e3618bbca97c3a96ebbdb86d6eede27f

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8a79ed3544f943560dad475a0d185bfec279f7a88ee463059399ef4c31c01d2c
MD5 7d2a4f4d4e41220db6f573c3149c764f
BLAKE2b-256 4d02581260cd146240782492690b4f923eb41342bc6fbcf9984f30b34de64a24

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp313-cp313-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp313-cp313-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 21907df3557f2e88b36399e67a24e7e6b7359fc72cef28c4fd2277b597ff752b
MD5 dbd2521932cf3acdcd250cf2acd0df3f
BLAKE2b-256 2ef014c5aba826b648b7e742cf5ce7583c2fada259274e195e311a078b0f4a1a

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: datamule-0.427-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for datamule-0.427-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0575080baf36d280139c673d56ed5b0a2d8655995e744d694e4e4420d978bafc
MD5 2c41fdda8fdb5f39c79238f7a604f2a1
BLAKE2b-256 f3657a0f373bdcfa74b951070ebf0acf9755a11d62e608c65af65d5bec8c1fe2

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f428126ad9c49c7f4f277cf424032dac3cb156c1160f69acc66dcd4a1e066ed2
MD5 49a89fd1f64d444129a56f3481fe1008
BLAKE2b-256 1840049b0e7a90656a47f4636e74269c420d2b30ae93bbd113b2e1a40321b56c

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 1b348b3de9931e3d3df37571955ed978c7e94a8515b52e0704e8098aeede0003
MD5 4373c4307cc853b8f991f7931d954b31
BLAKE2b-256 c955a8ac5b706d0257c1a284564c224130f043d3e7c6805b41181a5ef00e962a

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: datamule-0.427-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.8 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-0.427-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8630f0ffca485495178953b0bc564e4be9dd24b8560187116ed96bb236ea8220
MD5 9dea82529e69b6d860ccdef189e827c8
BLAKE2b-256 76312f75ae6c23478abdf5ba0f4f2842e2a4d35d7ad6f02e781a1e8b4e2e1d60

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8ee07efae761fa9d3e63efad90fa984492bb212a6dd74dbbd91436936d76afca
MD5 5f18f291ada7d4bb9c83f4f647023e00
BLAKE2b-256 7b4a3c305fbd4e71ee5b908d4a9c04efa2389b252eb42258d6a95fc84c077917

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 37bb1dd43cc9e2523ab1b50d22320449440915385b4b73d94ed3f2336c9f054e
MD5 5c2f0d5740b994e9576b1ee43a4b3949
BLAKE2b-256 d4adfd0725a189c9de3a7bee040a32141c19219dc37b6d570623cf40618b4d1f

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: datamule-0.427-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.8 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-0.427-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 7fcd0f5cf71c48400898b5160852a13cd57a85f51df32213da1987cea0e50f08
MD5 7213b1c2892102b4cd249e2954db9a10
BLAKE2b-256 36302dec3d107011c1dde3552b7f158590a27108d9bd87509ab144692860b9da

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ff9a99928840f25afb8abec8dc8fb0166f0bd46d91149e06e313efd776930f9e
MD5 2c4da3829cd2ccbc6139aacfa8f97821
BLAKE2b-256 fc0daa572b9b0315adef00139058328b919080e13a4efb6e66d873b3aeb42c65

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d3e35fd40d77304c85cbfccbe41a422d3eaa471fb08170780e98d4306129eb62
MD5 a326ef8c1acc052bb0d41624333be4cf
BLAKE2b-256 02789d9b88bc1f41c3690e89d96d56fb0368478acbbf4fed4ec4292363bd5b2d

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: datamule-0.427-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.8 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-0.427-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 54ebd54c5028f40ba611b5bcd83b7985780ed41296495093682da63dda2f6273
MD5 85b641f61c61e4a63bb573b6898a40fb
BLAKE2b-256 a74ded79160455441f2bbc45af0786828a0fb8042f90bb122b69e8ab58f7ff4a

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4cef51e24fd801981af717c36ce03b4a59bca128fda4bce7b9aadf26d2f1cfed
MD5 df6a3d75fe325c2f8f749fffde07b147
BLAKE2b-256 80f9a976ab18a6cd494dc059b119add832046bfcbb241dadc415225371688ae2

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 fad8142f507ff4617960356a50004b01d5427947ccedac0015b73549874dcd2d
MD5 52e8f7d12d7cf63e7983108ec892678f
BLAKE2b-256 5f64b2fb1dfe545f861ab6fa101bc4a441149f5b8277dab78f68753f70ee671f

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: datamule-0.427-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.8 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-0.427-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 73809aa359c900f84d390507ddd85b8cda3f69cad5b37c5977c98a348c0b52f7
MD5 27b6c3bf7e12cd13a2894d48e3925d9b
BLAKE2b-256 4014b0fef2425e925c3ff817870bc1a62e4f07221ec67332261883a3811fcfba

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 249844d29136e867b1e83e7ffa165bbf60e3b06d486dca77decc4e6a07024f8d
MD5 81a3ec293ea4e750ba444f592d53310b
BLAKE2b-256 edbf29af8bad0a2df521147ba1ace8842a62a25b4f82961005e2bd75d94585d9

See more details on using hashes here.

File details

Details for the file datamule-0.427-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for datamule-0.427-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 35430ae6f9a17208295b0e1ceacf4decf8bcec1b7e6081eef64e398e837c8838
MD5 110def190369fd88becb6b9925580bd0
BLAKE2b-256 dbb8d74578c2b7e440f560d84691902ed4f5eca7a048fbd6c235559a76015bd1

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