Package: eyesthatblink
Version: 1.0-12
Architecture: amd64
Maintainer: Dilawar Singh <dilawars@ncbs.res.in>
Installed-Size: 6085
Depends: libatkmm-1.6-1v5 (>= 2.24.0), libboost-filesystem1.65.1, libboost-regex1.65.1, libboost-system1.65.1, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libglibmm-2.4-1v5 (>= 2.54.0), libgtkmm-2.4-1v5 (>= 1:2.24.0), libnotify4 (>= 0.7.0), libopencv-core3.2, libopencv-imgproc3.2, libopencv-objdetect3.2, libopencv-videoio3.2, libsigc++-2.0-0v5 (>= 2.2.0), libstdc++6 (>= 7), libxcb-randr0 (>= 1.1), libxcb-util1 (>= 0.4.0), libxcb1
Filename: ./amd64/eyesthatblink_1.0-12_amd64.deb
Size: 657764
MD5sum: 45cfc8b8294d0529095c04d12ebdd05f
SHA1: d5d48903a23b26e37d4f467f2094b290dc8b98de
SHA256: 161acc1be223b9f13cc2227b4047fe0cf0eb2447b3c5bcc7f88bdeda7a71b2ad
Section: science
Priority: optional
Homepage: http://eyesthatblink.com
Description: Eyes That Blink

Package: moose
Source: xppaut
Version: 8.0+10.1
Architecture: amd64
Maintainer: Dilawar Singh <dilawars@ncbs.res.in>
Installed-Size: 2107
Depends: libc6 (>= 2.23), libx11-6
Filename: ./amd64/moose_8.0+10.1_amd64.deb
Size: 745752
MD5sum: 9300efe34c808dd8fc8853715aedff95
SHA1: 5199e36c4fbe1a75aa835ff5efcf66bcc82adf89
SHA256: e3983bd428d30a057a065fd7fbcc8a5f01be1f2eb5de14aa0aa2c4f3cd566f2a
Section: science
Priority: optional
Homepage: http://moose.ncbs.res.in
Description: XPPAUT is a tool for solving
   * differential equations,
   * difference equations,
   * delay equations,
   * functional equations,
   * boundary value problems, and
   * stochastic equations.
 The code brings together a number of useful algorithms and is extremely
 portable. All the graphics and interface are written completely in Xlib which
 explains the somewhat idiosyncratic and primitive widgets interface.

Package: nest
Version: 2.16.0+4.1
Architecture: amd64
Maintainer: Dilawar Singh <dilawar.s.rajput@gmail.com>
Installed-Size: 24156
Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.4), libgomp1 (>= 4.9), libgsl23, libgslcblas0, libltdl7 (>= 2.4.6), libpython3.6 (>= 3.6.4~rc1), libreadline7 (>= 6.0), libstdc++6 (>= 5.2), libtinfo5 (>= 6)
Recommends: python3-matplotlib, python3-scipy
Filename: ./amd64/nest_2.16.0+4.1_amd64.deb
Size: 6881800
MD5sum: f9adff5c5340f4205bc58282a0caaae2
SHA1: 92df5ceccbf7329112e9a2261ba018f230ac9926
SHA256: f1aeec224d3597cf1d518cdd5742b1760e89ef8cd3ee490a1436e02ace669bb8
Section: biology
Priority: optional
Homepage: http://github.com/madhavPdesai/ahir
Description:
  NEST is a simulator for spiking neural network models that focuses on the
  dynamics, size and structure of neural systems rather than on the exact
  morphology of individual neurons.

Package: nest-dbg
Source: nest
Version: 2.16.0+4.1
Architecture: amd64
Maintainer: Dilawar Singh <dilawar.s.rajput@gmail.com>
Installed-Size: 7
Filename: ./amd64/nest-dbg_2.16.0+4.1_amd64.deb
Size: 1160
MD5sum: 02aecb51c4937dd886800c8e1e47e053
SHA1: 81d87eea82edc3d1642068f0c223eeaadc97eb99
SHA256: 41e4912dfcc261c33b248c84a759fcb6a8a06254b875f23f5c1597bd8f7c4fee
Section: debug
Priority: extra
Homepage: http://github.com/madhavPdesai/ahir
Description: debugging symbols for nest

Package: nest-dev
Source: nest
Version: 2.16.0+4.1
Architecture: amd64
Maintainer: Dilawar Singh <dilawar.s.rajput@gmail.com>
Installed-Size: 2597
Filename: ./amd64/nest-dev_2.16.0+4.1_amd64.deb
Size: 320084
MD5sum: 103e394446fc39a4ac0342d446fd62d1
SHA1: b79e3367c35e2bf6b7cec52b43f619a225219c03
SHA256: f9ef3fd33ac5f95708faa3f28da449b893edbc9ace72a2e5a0187efde67bdbd4
Section: libdevel
Priority: optional
Multi-Arch: same
Homepage: http://github.com/madhavPdesai/ahir
Description: NEST development package
  This package contains C++ header files.

Package: smoldyn
Version: 2.62-1+8.1
Architecture: amd64
Maintainer: Dilawar Singh <dilawar.s.rajput@gmail.com>
Installed-Size: 6114
Depends: freeglut3, libc6 (>= 2.27), libgcc1 (>= 1:3.3.1), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5.2), libtiff5 (>= 4.0.3)
Filename: ./amd64/smoldyn_2.62-1+8.1_amd64.deb
Size: 999148
MD5sum: d620f22c7d95db7ed4410f607b5f53fe
SHA1: 98cbf6a230a9de6ccedafa63c7566fbbbc81114c
SHA256: fe49882f220ea58f379d96865ee2d04ab666daff144e344b70cca0a60ae0fb04
Section: science
Priority: optional
Homepage: http://smoldyn.org
Description: is a computer program for cell-scale biochemical simulations. It
  simulates each molecule of interest individually to capture natural
  stochasticity and to yield nanometer-scale spatial resolution. It treats other
  molecules implicitly, enabling it to simulate hundreds of thousands of molecules
  over several minutes of real time. Simulated molecules diffuse, react, are
  confined by surfaces, and bind to membranes much as they would in a real
  biological system.

Package: stimfit
Version: 0.16.git+37.1
Architecture: amd64
Maintainer: Dilawar Singh <dilawar.s.rajput@gmail.com>
Installed-Size: 874
Depends: libblas3 | libblas.so.3, libc6 (>= 2.14), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2)
Filename: ./amd64/stimfit_0.16.git+37.1_amd64.deb
Size: 278348
MD5sum: ccf99979a8b3c1e97258e22df41fe64f
SHA1: be66936f33ab567df417a7bb3756de10f6d7343c
SHA256: a00374eac964e0f1c474f3484502508d70bff85a2ef27007600c074abd1b666a
Section: science
Priority: optional
Description: A program for viewing and analyzing electrophysiological data
 Stimfit is a free, fast and simple program for viewing and analyzing
 electrophysiological data. It features an embedded Python shell that
 allows you to extend the program functionality by using numerical
 libraries such as NumPy and SciPy.

Package: tippecanoe
Version: 1.35.0+8.1
Architecture: amd64
Maintainer: Dilawar Singh <dilawar.s.rajput@gmail.com>
Installed-Size: 1154
Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.0.2)
Filename: ./amd64/tippecanoe_1.35.0+8.1_amd64.deb
Size: 341664
MD5sum: bb67e82bef400cd677d2995999899b36
SHA1: 7af413fdcefefd3c77046336f64a6a809b69608e
SHA256: 5404fccca433959436c68bdeb35ec63f53ec43d8cc2d6a6c07c1a37334baaf5a
Section: science
Priority: optional
Homepage: http://gitlab.com/mapbox/tippecanoe
Description: The goal of Tippecanoe is to enable making a scale-independent
  view of your data, so that at any level from the entire world to a single
  building, you can see the density and texture of the data rather than a
  simplification from dropping supposedly unimportant features or clustering or
  aggregating them.